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Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks

https://doi.org/10.1109/jbhi.2018.2818620

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Outgoing claims: the papers this work cites, builds on, or argues with.

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inferred← citeshttps://doi.org/10.2139/ssrn.4058016openalex-extracted

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inferred← citeshttps://doi.org/10.2139/ssrn.4106279openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4165633openalex-extracted

Lung Graph-Based Machine Learning for Identification of Fibrotic Interstitial Lung Diseases

inferred← citeshttps://doi.org/10.1002/9781119646181.biblioopenalex-snapshot

Bibliography

inferred← citeshttps://doi.org/10.1002/ima.22883openalex-snapshot

Predicting lung cancer treatment response from CT images using deep learning

inferred← citeshttps://doi.org/10.1002/ima.70114openalex-snapshot

Discriminative Consistency Semi‐Supervised Carotid Ultrasound Plaque Segmentation by Exploiting Global Context

inferred← citeshttps://doi.org/10.1002/ima.70232openalex-snapshot

Comprehensive Experimentation of Pretrained Models on Slice‐Based Classification of Interstitial Lung Disease Patterns

inferred← citeshttps://doi.org/10.1002/jmri.27385openalex-snapshot

Repeatability of Phase‐Resolved Functional Lung ( PREFUL )‐ MRI Ventilation and Perfusion Parameters in Healthy Subjects and COPD Patients

inferred← citeshttps://doi.org/10.1007/978-3-030-00946-5_2openalex-snapshot

Linear and Deformable Image Registration with 3D Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-030-00946-5_20openalex-snapshot

Transfer Learning for Segmentation of Injured Lungs Using Coarse-to-Fine Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-030-32606-7_2openalex-snapshot

Medical Image Segmentation Using Deep Learning

inferred← citeshttps://doi.org/10.1007/978-3-030-52791-4_3openalex-snapshot

Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema

inferred← citeshttps://doi.org/10.1007/978-3-030-62469-9_4openalex-snapshot

Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet

inferred← citeshttps://doi.org/10.1007/978-3-031-23683-9_18openalex-snapshot

Prediction and Classification of Aerosol Deposition in Lung Using CT Scan Images

inferred← citeshttps://doi.org/10.1007/978-3-031-29860-8_97openalex-snapshot

Medical Image Segmentation Using Deep Learning: A Survey

inferred← citeshttps://doi.org/10.1007/978-3-031-94791-9_7openalex-snapshot

Semi-Supervised Learning for Medical Image Analysis

inferred← citeshttps://doi.org/10.1007/978-3-032-04114-2_11openalex-snapshot

Machine Learning Based Methods for Analyzing Medical Images: A Survey

inferred← citeshttps://doi.org/10.1007/978-981-96-6954-7_10openalex-snapshot

Identification of Interstitial Lung Disease: Breaking Barriers with SB-ID Net

inferred← citeshttps://doi.org/10.1007/s00034-023-02532-xopenalex-snapshot

Lung CT Image Segmentation via Dilated U-Net Model and Multi-scale Gray Correlation-Based Approach

inferred← citeshttps://doi.org/10.1007/s10278-023-00909-7openalex-snapshot

Developing the Lung Graph-Based Machine Learning Model for Identification of Fibrotic Interstitial Lung Diseases

inferred← citeshttps://doi.org/10.1007/s10278-025-01420-xopenalex-snapshot

Fibrous Tissue Semantic Segmentation in CT Images of Diffuse Interstitial Lung Disease

inferred← citeshttps://doi.org/10.1007/s11042-020-09425-0openalex-snapshot

Human segmentation in surveillance video with deep learning

inferred← citeshttps://doi.org/10.1007/s11063-020-10330-8openalex-snapshot

Pathological lung segmentation based on random forest combined with deep model and multi-scale superpixels

inferred← citeshttps://doi.org/10.1007/s11277-022-09728-5openalex-snapshot

Dilated Deep Neural Architectures for Improving Retinal Vessel Extraction

inferred← citeshttps://doi.org/10.1007/s11548-021-02533-8openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s42979-026-05205-zopenalex-snapshot

Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infected Lung

inferred← citeshttps://doi.org/10.1016/b978-0-323-85240-1.00004-3openalex-snapshot

Neural network for lung cancer diagnosis

inferred← citeshttps://doi.org/10.1016/b978-0-323-85240-1.00005-5openalex-snapshot

Learning from multiple modalities of imaging data for cancer diagnosis

inferred← citeshttps://doi.org/10.1016/b978-0-323-95415-0.00010-3openalex-snapshot

Deep learning approaches for the retinal vasculature segmentation in fundus images

inferred← citeshttps://doi.org/10.1016/j.acra.2021.05.014openalex-snapshot

Artificial Intelligence for Interstitial Lung Disease Analysis on Chest Computed Tomography: A Systematic Review

inferred← citeshttps://doi.org/10.1016/j.acra.2023.01.038openalex-snapshot

Computed Tomography Radiomics-based Prediction Model for Gender–Age–Physiology Staging of Connective Tissue Disease-associated Interstitial Lung Disease

inferred← citeshttps://doi.org/10.1016/j.asoc.2022.108883openalex-snapshot

A deep fuzzy model for diagnosis of COVID-19 from CT images

inferred← citeshttps://doi.org/10.1016/j.bspc.2022.103996openalex-snapshot

Spatial feature fusion in 3D convolutional autoencoders for lung tumor segmentation from 3D CT images

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104743openalex-snapshot

RsALUNet: A reinforcement supervision U-Net-based framework for multi-ROI segmentation of medical images

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109499openalex-snapshot

Large kernel mixed convolution and dual-domain self-attention network for 3D abdominal multi-organ segmentation

inferred← citeshttps://doi.org/10.1016/j.cmpb.2020.105864openalex-snapshot

Pathological lung segmentation in chest CT images based on improved random walker

inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106074openalex-snapshot

Deep neural network for automated simultaneous intervertebral disc (IVDs) identification and segmentation of multi-modal MR images

inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106170openalex-snapshot

Lung computed tomography image segmentation based on U-Net network fused with dilated convolution

inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106243openalex-snapshot

Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach

inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107914openalex-snapshot

A multi-branched semantic segmentation network based on twisted information sharing pattern for medical images

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104210openalex-snapshot

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.105088openalex-snapshot

S2FLNet: Hepatic steatosis detection network with body shape

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105385openalex-snapshot

Revisiting segmentation of lung tumors from CT images

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.106119openalex-snapshot

CSM-Net: Automatic joint segmentation of intima-media complex and lumen in carotid artery ultrasound images

inferred← citeshttps://doi.org/10.1016/j.compmedimag.2019.101690openalex-snapshot

DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography

inferred← citeshttps://doi.org/10.1016/j.compmedimag.2023.102258openalex-snapshot

An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation

inferred← citeshttps://doi.org/10.1016/j.ejmp.2021.05.003openalex-snapshot

A review of deep learning based methods for medical image multi-organ segmentation

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124270openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.media.2020.101860openalex-snapshot

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inferred← citeshttps://doi.org/10.1038/s41598-022-05527-xopenalex-snapshot

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inferred← citeshttps://doi.org/10.1038/s41598-023-29949-3openalex-snapshot

AI co-pilot: content-based image retrieval for the reading of rare diseases in chest CT

inferred← citeshttps://doi.org/10.1038/s41598-024-71080-4openalex-snapshot

A Modified Deep Semantic Segmentation Model for Analysis of Whole Slide Skin Images

inferred← citeshttps://doi.org/10.1038/s41598-025-11272-8openalex-snapshot

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inferred← citeshttps://doi.org/10.1038/s41746-022-00681-yopenalex-snapshot

Ageing and degeneration analysis using ageing-related dynamic attention on lateral cephalometric radiographs

inferred← citeshttps://doi.org/10.1049/ipr2.12709openalex-snapshot

SACNet: Shuffling atrous convolutional U‐Net for medical image segmentation

inferred← citeshttps://doi.org/10.1049/tje2.12025openalex-snapshot

Image semantic segmentation method based on GAN network and ERFNet model

inferred← citeshttps://doi.org/10.1063/5.0104508openalex-snapshot

Interstitial lung disease - Case study

inferred← citeshttps://doi.org/10.1063/5.0122716openalex-snapshot

Prediction and classification of aerosol deposition in lung using CT scan images

inferred← citeshttps://doi.org/10.1080/02522667.2022.2094550openalex-snapshot

Advancements in deep structured learning based medical image interpretation

inferred← citeshttps://doi.org/10.1080/03091902.2021.1905895openalex-snapshot

A 3D image segmentation for lung cancer using V.Net architecture based deep convolutional networks

inferred← citeshttps://doi.org/10.1088/1361-6560/acede8openalex-snapshot

CoTrFuse: a novel framework by fusing CNN and transformer for medical image segmentation

inferred← citeshttps://doi.org/10.1088/1361-6560/ad092aopenalex-snapshot

Self-supervised enhanced thyroid nodule detection in ultrasound examination video sequences with multi-perspective evaluation

inferred← citeshttps://doi.org/10.1088/1742-6596/1917/1/012021openalex-snapshot

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inferred← citeshttps://doi.org/10.1093/jbcr/irad051openalex-snapshot

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inferred← citeshttps://doi.org/10.1093/jbcr/iraf057openalex-snapshot

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inferred← citeshttps://doi.org/10.1097/rli.0000000000000574openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2019.2909538openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/becithcon48839.2019.9063179openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669551openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377783openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00361openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/eict54103.2021.9733588openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icacic59454.2023.10435032openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icassp.2019.8683802openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/iccmc51019.2021.9418385openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icicta51737.2020.00076openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/iciiet55458.2022.9967554openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/igarss.2019.8898220openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534222openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/incet61516.2024.10593534openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ines67149.2025.11078229openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/inista52262.2021.9548582openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/mvip49855.2020.9116916openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/sami58000.2023.10044483openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/sitis.2019.00017openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tencon50793.2020.9293783openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/resp.14310openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/2021/1060182openalex-snapshot

ShipYOLO: An Enhanced Model for Ship Detection

inferred← citeshttps://doi.org/10.1177/09544119221113722openalex-snapshot

Interstitial lung disease detection using template matching combined sparse coding and blended multi class support vector machine

inferred← citeshttps://doi.org/10.1177/19373384261458003openalex-snapshot

Automated Abnormal Vessel Detection in Re-Endothelialized Mouse Lungs: A Proof of Concept

inferred← citeshttps://doi.org/10.1183/13993003.00905-2019openalex-snapshot

New radiological diagnostic criteria: impact on idiopathic pulmonary fibrosis diagnosis

inferred← citeshttps://doi.org/10.1186/s13636-020-00184-2openalex-snapshot

DOANet: a deep dilated convolutional neural network approach for search and rescue with drone-embedded sound source localization

inferred← citeshttps://doi.org/10.1259/bjr.20201107openalex-snapshot

Deep learning in structural and functional lung image analysis

inferred← citeshttps://doi.org/10.12669/pjms.37.6-wit.4795openalex-snapshot

Analysis of the Clinical Characteristics of Tuberculosis Patients based on Multi-Constrained Computed Tomography (CT) Image Segmentation Algorithm

inferred← citeshttps://doi.org/10.12794/metadc1833510openalex-snapshot

COVID-19 Diagnosis and Segmentation Using Machine Learning Analyses of Lung Computerized Tomography

inferred← citeshttps://doi.org/10.1371/journal.pone.0226084openalex-snapshot

Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP)

inferred← citeshttps://doi.org/10.14326/abe.11.25openalex-snapshot

Segmentation of Diffuse Lung Abnormality Patterns on Computed Tomography Images using Partially Supervised Learning

inferred← citeshttps://doi.org/10.1561/0600000095openalex-snapshot

Semantic Image Segmentation: Two Decades of Research

inferred← citeshttps://doi.org/10.21203/rs.3.rs-405993/v1openalex-snapshot

Dilated Deep Neural Architectures for Improving Retinal Vessel Extraction

inferred← citeshttps://doi.org/10.22271/tpi.2019.v8.i1sa.25237openalex-snapshot

Challenges and opportunities in integrating radiomics and machine learning for early cancer detection: A state-of-the-art review

inferred← citeshttps://doi.org/10.2478/ausi-2023-0011openalex-snapshot

Enhanced imagistic methodologies augmenting radiological image processing in interstitial lung diseases

inferred← citeshttps://doi.org/10.25092/baunfbed.1109398openalex-snapshot

Topluluk ve Derin öğrenme teknikleri kullanılarak İdiyopatik Pulmoner Fibrozis hastalığının erken teşhisi

inferred← citeshttps://doi.org/10.3103/s1060992x23020091openalex-snapshot

Optimized Lung Nodule Prediction Model for Lung Cancer Using Contour Features Extraction

inferred← citeshttps://doi.org/10.3233/his-200287openalex-snapshot

Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning

inferred← citeshttps://doi.org/10.3233/thc-218037openalex-snapshot

3D segmentation of lungs with juxta-pleural tumor using the improved active shape model approach

inferred← citeshttps://doi.org/10.3233/xst-221191openalex-snapshot

Lung tumor segmentation using dual-coupling net with shape prior based on lung and mediastinal window images from chest CT images

inferred← citeshttps://doi.org/10.3233/xst-230218openalex-snapshot

Severity-stratification of interstitial lung disease by deep learning enabled assessment and quantification of lesion indicators from HRCT images

inferred← citeshttps://doi.org/10.32604/cmes.2023.030712openalex-snapshot

An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches

inferred← citeshttps://doi.org/10.3389/fonc.2023.1154200openalex-snapshot

Deep convolutional neural networks for multiple histologic types of ovarian tumors classification in ultrasound images

inferred← citeshttps://doi.org/10.3390/agronomy14020341openalex-snapshot

Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications

inferred← citeshttps://doi.org/10.3390/bioengineering10070830openalex-snapshot

Semi-Supervised Segmentation of Interstitial Lung Disease Patterns from CT Images via Self-Training with Selective Re-Training

inferred← citeshttps://doi.org/10.3390/biology10111134openalex-snapshot

Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach

inferred← citeshttps://doi.org/10.3390/diagnostics12071553openalex-snapshot

Semantic Segmentation of Extraocular Muscles on Computed Tomography Images Using Convolutional Neural Networks

inferred← citeshttps://doi.org/10.3390/diagnostics13030357openalex-snapshot

Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence

inferred← citeshttps://doi.org/10.3390/engproc2023032021openalex-snapshot

Semantic Segmentation for Various Applications: Research Contribution and Comprehensive Review

inferred← citeshttps://doi.org/10.3390/su13031224openalex-snapshot

A Review of Deep-Learning-Based Medical Image Segmentation Methods

inferred← citeshttps://doi.org/10.35882/jeeemi.v7i3.704openalex-snapshot

Advancement of Lung Cancer Diagnosis with Transfer Learning: Insights from VGG16 Implementation

inferred← citeshttps://doi.org/10.4018/978-1-7998-7709-7.ch001openalex-snapshot

A Novel Approach of Lung Tumor Segmentation Using a 3D Deep Convolutional Neural Network

inferred← citeshttps://doi.org/10.48550/arxiv.1912.11995openalex-snapshot

An Abstraction Model for Semantic Segmentation Algorithms

inferred← citeshttps://doi.org/10.48550/arxiv.2001.10619openalex-snapshot

Deep Learning in Multi-organ Segmentation

inferred← citeshttps://doi.org/10.48550/arxiv.2008.09866openalex-snapshot

Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages

inferred← citeshttps://doi.org/10.48550/arxiv.2111.09262openalex-snapshot

Segmentation of Lung Tumor from CT Images using Deep Supervision

inferred← citeshttps://doi.org/10.54097/jceim.v10i3.8680openalex-snapshot

A Tongue Segmentation Algorithm Based on Deeplabv3+ Network Model

inferred← citeshttps://doi.org/10.70675/0abbd9a6zf9c6z47e0z96fbz3c544a648d65openalex-snapshot

AI-driven Detection, Characterization and Classification of Chronic Lung Diseases

inferred← citeshttps://doi.org/10.70675/a93699aczd4b9z4ff5za250za1b243929884openalex-snapshot

High Dimensional Graph Theoretical Approaches for Various Omics Data

inferred← citeshttps://doi.org/10.7507/1001-5515.201906067openalex-snapshot

[Application of semantic segmentation based on convolutional neural network in medical images].

inferred← citeshttps://doi.org/10.7507/1001-5515.202008032openalex-snapshot

[Research progress in lung parenchyma segmentation based on computed tomography].

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