On the public citation graph

BreastMultiNet: A Multi-Scale Feature Fusion Method Using Deep Neural Network to Detect Breast Cancer

https://doi.org/10.1016/j.array.2022.100256

0 signed · 92 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1001/jamadermatol.2018.2348openalex-snapshot

Machine Learning and Health Care Disparities in Dermatology

inferredcites →https://doi.org/10.1002/ima.22622openalex-snapshot

Machine learning‐based tri‐stage classification of Alzheimer's progressive neurodegenerative disease using PCA and mRMR administered textural, orientational, and spatial features

inferredcites →https://doi.org/10.1007/978-981-33-4687-1openalex-snapshot

Micro-Electronics and Telecommunication Engineering

inferredcites →https://doi.org/10.1007/978-981-33-4687-1_7openalex-snapshot

Different Diagnostic Aids and the Improved Scope of Establishing Early Breast Cancer Diagnosis

inferredcites →https://doi.org/10.1007/s00521-019-04296-5openalex-snapshot

Interpretation of intelligence in CNN-pooling processes: a methodological survey

inferredcites →https://doi.org/10.1007/s10462-020-09887-6openalex-snapshot

A texture feature based approach for person verification using footprint bio-metric

inferredcites →https://doi.org/10.1007/s11036-020-01672-7openalex-snapshot

A Review of Deep Learning on Medical Image Analysis

inferredcites →https://doi.org/10.1007/s11042-021-11477-9openalex-snapshot

Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model

inferredcites →https://doi.org/10.1007/s11280-020-00850-7openalex-snapshot

Deep fusion of multimodal features for social media retweet time prediction

inferredcites →https://doi.org/10.1007/s12530-020-09345-2openalex-snapshot

Automatic tuning of hyperparameters using Bayesian optimization

inferredcites →https://doi.org/10.1007/s12652-022-03713-3openalex-snapshot

Breast cancer detection in mammogram: combining modified CNN and texture feature based approach

inferredcites →https://doi.org/10.1016/b978-0-12-824410-4.00009-xopenalex-snapshot

Early detection of breast cancer using efficient image processing algorithms and prediagnostic techniques: A detailed approach

inferredcites →https://doi.org/10.1016/c2020-0-02155-9openalex-snapshot

Cognitive Systems and Signal Processing in Image Processing

inferredcites →https://doi.org/10.1016/j.asoc.2020.106759openalex-snapshot

Deep transfer with minority data augmentation for imbalanced breast cancer dataset

inferredcites →https://doi.org/10.1016/j.bbe.2021.08.011openalex-snapshot

Breast cancer detection from histopathology images using modified residual neural networks

inferredcites →https://doi.org/10.1016/j.bspc.2022.103564openalex-snapshot

Automatic Detection Metastasis in Breast Histopathological Images Based on Ensemble Learning and Color Adjustment

inferredcites →https://doi.org/10.1016/j.compbiomed.2022.105301openalex-snapshot

Whole slide image registration via multi-stained feature matching

inferredcites →https://doi.org/10.1016/j.compmedimag.2018.11.003openalex-snapshot

Patch-based system for Classification of Breast Histology images using deep learning

inferredcites →https://doi.org/10.1016/j.compmedimag.2020.101852openalex-snapshot

Deep transfer learning approaches for bleeding detection in endoscopy images

inferredcites →https://doi.org/10.1016/j.ecoinf.2019.02.007openalex-snapshot

Deep learning and transfer learning features for plankton classification

inferredcites →https://doi.org/10.1016/j.iswa.2022.200066openalex-snapshot

Improved multi-classification of breast cancer histopathological images using handcrafted features and deep neural network (dense layer)

inferredcites →https://doi.org/10.1016/j.jbi.2020.103627openalex-snapshot

A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues

inferredcites →https://doi.org/10.1016/j.jksuci.2021.04.002openalex-snapshot

Enhanced Indonesian Ethnic Speaker Recognition using Data Augmentation Deep Neural Network

inferredcites →https://doi.org/10.1016/j.knosys.2022.108274openalex-snapshot

Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing

inferredcites →https://doi.org/10.1016/j.knosys.2022.109852openalex-snapshot

Robust cross-network node classification via constrained graph mutual information

inferredcites →https://doi.org/10.1016/j.knosys.2023.110530openalex-snapshot

Variational co-embedding learning for attributed network clustering

inferredcites →https://doi.org/10.1016/j.media.2019.05.010openalex-snapshot

BACH: Grand challenge on breast cancer histology images

inferredcites →https://doi.org/10.1016/j.patcog.2019.03.005openalex-snapshot

Spatiotemporal distilled dense-connectivity network for video action recognition

inferredcites →https://doi.org/10.1016/j.patrec.2020.03.011openalex-snapshot

Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images

inferredcites →https://doi.org/10.1016/j.pharmthera.2022.108108openalex-snapshot

Challenges and opportunities in metastatic breast cancer treatments: Nano-drug combinations delivered preferentially to metastatic cells may enhance therapeutic response

inferredcites →https://doi.org/10.1016/j.pharmthera.2022.108156openalex-snapshot

Organ-on-a-chip platforms as novel advancements for studying heterogeneity, metastasis, and drug efficacy in breast cancer

inferredcites →https://doi.org/10.1016/j.radi.2022.01.006openalex-snapshot

Comparison of the diagnostic performance of Magnetic Resonance Imaging (MRI), ultrasound and mammography for detection of breast cancer based on tumor type, breast density and patient's history: A review

inferredcites →https://doi.org/10.1016/j.tsep.2021.100886openalex-snapshot

Thermo-hydraulic performance prediction of a solar air heater with circular perforated absorber plate using Artificial Neural Network

inferredcites →https://doi.org/10.1080/03091902.2021.1896814openalex-snapshot

Sliding window based deep ensemble system for breast cancer classification

inferredcites →https://doi.org/10.1080/21688370.2021.1962698openalex-snapshot

The role of connexins in breast cancer: from misregulated cell communication to aberrant intracellular signaling

inferredcites →https://doi.org/10.1109/access.2019.2908724openalex-snapshot

A Deep Learning Approach for Breast Invasive Ductal Carcinoma Detection and Lymphoma Multi-Classification in Histological Images

inferredcites →https://doi.org/10.1109/access.2021.3063803openalex-snapshot

Automatic Detection of Invasive Ductal Carcinoma Based on the Fusion of Multi-Scale Residual Convolutional Neural Network and SVM

inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/tbme.2015.2496264openalex-snapshot

A Dataset for Breast Cancer Histopathological Image Classification

inferredcites →https://doi.org/10.1145/3469213openalex-snapshot

2021 2nd International Conference on Artificial Intelligence and Information Systems

inferredcites →https://doi.org/10.1148/radiol.2021210746openalex-snapshot

Added Value of Prereading Screening Mammograms for Breast Cancer by Radiologic Technologists on Early Screening Outcomes

inferredcites →https://doi.org/10.1186/s40537-021-00419-9openalex-snapshot

A survey on data‐efficient algorithms in big data era

inferredcites →https://doi.org/10.20944/preprints202201.0258.v1openalex-snapshot

Hybrid Feature Fusion and Machine Learning Approaches for Melanoma Skin Cancer Detection

inferredcites →https://doi.org/10.3322/caac.21660openalex-snapshot

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

inferredcites →https://doi.org/10.3390/app10082929openalex-snapshot

A Novel Architecture to Classify Histopathology Images Using Convolutional Neural Networks

inferredcites →https://doi.org/10.3390/app12042028openalex-snapshot

A Fingerprint-Based Verification Framework Using Harris and SURF Feature Detection Algorithms

inferredcites →https://doi.org/10.3390/cancers13071590openalex-snapshot

Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data

inferredcites →https://doi.org/10.3390/electronics9030445openalex-snapshot

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

inferredcites →https://doi.org/10.3390/su13031224openalex-snapshot

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

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4772541openalex-extracted

Comparative Analysis to Identify Machine Learning Methods in Predicting Benign-Malignant Types of Breast Cancer

inferred← citeshttps://doi.org/10.1007/978-3-032-11352-8_14openalex-snapshot

AcneMultiNet: A Deep Learning-Based Hybrid Architecture for Acne Detection

inferred← citeshttps://doi.org/10.1007/s00521-024-09541-0openalex-snapshot

HBNet: an integrated approach for resolving class imbalance and global local feature fusion for accurate breast cancer classification

inferred← citeshttps://doi.org/10.1007/s10278-024-01046-5openalex-snapshot

HBMD-Net: Feature Fusion Based Breast Cancer Classification with Class Imbalance Resolution

inferred← citeshttps://doi.org/10.1007/s11227-024-06663-zopenalex-snapshot

Fusion strategies for deep convolutional neural network representations in histopathological image classification

inferred← citeshttps://doi.org/10.1007/s11831-025-10474-7openalex-snapshot

Early Detection and Personalized Risk Assessment of Breast Cancer: An Integrative Review and Comparative Evaluation of AI Models Using Clinical and Imaging Data

inferred← citeshttps://doi.org/10.1007/s42600-024-00388-xopenalex-snapshot

Deep learning approaches for detection, classification, and localization of breast cancer using microscopic images: A review and bibliometric analysis

inferred← citeshttps://doi.org/10.1007/s44174-024-00205-0openalex-snapshot

SkinMultiNet: Advancements in Skin Cancer Prediction Using Deep Learning with Web Interface

inferred← citeshttps://doi.org/10.1007/s44174-024-00231-yopenalex-snapshot

KidneyMultiNet: A Web-Based Automatic System for Kidney Disease Detection Using Hybrid Machine Learning Model From CT Scan Images

inferred← citeshttps://doi.org/10.1016/j.array.2024.100346openalex-snapshot

BT-Net: An end-to-end multi-task architecture for brain tumor classification, segmentation, and localization from MRI images

inferred← citeshttps://doi.org/10.1016/j.atech.2023.100321openalex-snapshot

A deep CNN approach to detect and classify local fruits through a web interface

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110505openalex-snapshot

Explainable deep learning ensemble model for breast cancer classification in histopathology images

inferred← citeshttps://doi.org/10.1016/j.cropd.2024.100079openalex-snapshot

Smart farming: Leveraging IoT and deep learning for sustainable tomato cultivation and pest management

inferred← citeshttps://doi.org/10.1016/j.fraope.2026.100709openalex-snapshot

MFWMBF-Net: A Multi-Feature and Weighted Multi-Branch Fusion Network for breast cancer detection and classification from multiple medical images

inferred← citeshttps://doi.org/10.1016/j.health.2023.100298openalex-snapshot

An enhanced multi-scale deep convolutional orchard capsule neural network for multi-modal breast cancer detection

inferred← citeshttps://doi.org/10.1016/j.health.2025.100421openalex-snapshot

An integrated deep learning approach for enhancing brain tumor diagnosis

inferred← citeshttps://doi.org/10.1016/j.ibmed.2025.100290openalex-snapshot

A hybrid feature extraction based ensemble model for breast cancer detection and classification using different medical images

inferred← citeshttps://doi.org/10.1016/j.ibmed.2026.100412openalex-snapshot

Robust breast cancer histopathology classification using a self-supervised multi-scale adaptive convolutional transformer

inferred← citeshttps://doi.org/10.1016/j.imu.2024.101500openalex-snapshot

Empowering early detection: A web-based machine learning approach for PCOS prediction

inferred← citeshttps://doi.org/10.1016/j.jpi.2023.100341openalex-snapshot

Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection

inferred← citeshttps://doi.org/10.1016/j.mex.2025.103159openalex-snapshot

XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion

inferred← citeshttps://doi.org/10.1038/s41598-024-79363-6openalex-snapshot

Enhanced breast cancer diagnosis through integration of computer vision with fusion based joint transfer learning using multi modality medical images

inferred← citeshttps://doi.org/10.1038/s41598-025-23498-7openalex-snapshot

Machine learning-based classification of histological subtypes of invasive breast cancer using MRI contralateral breast texture features

inferred← citeshttps://doi.org/10.1063/5.0235307openalex-snapshot

Towards accurate breast cancer diagnosis: An overview of multimodal model integration

inferred← citeshttps://doi.org/10.1109/access.2025.3545052openalex-snapshot

A Novel Local Binary Patterns-Based Approach and Proposed CNN Model to Diagnose Breast Cancer by Analyzing Histopathology Images

inferred← citeshttps://doi.org/10.1109/access.2025.3576825openalex-snapshot

Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images

inferred← citeshttps://doi.org/10.1109/access.2025.3598450openalex-snapshot

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

inferred← citeshttps://doi.org/10.1109/access.2026.3650782openalex-snapshot

TB-FusionNet: A Multi-Scale Feature Fusion Algorithm With Spatial and Channel Cross-Attention for Tuberculosis Detection

inferred← citeshttps://doi.org/10.1109/delcon64804.2024.10866971openalex-snapshot

An ML Based Framework for Classification of Breast Histopathological Images Using Fused Feature Set

inferred← citeshttps://doi.org/10.1109/ic-icns68863.2026.11537605openalex-snapshot

Comparative Analysis of Deep Learning Models for Breast Cancer Histopathological Image Classification

inferred← citeshttps://doi.org/10.1109/ic3ecsbhi63591.2025.10991254openalex-snapshot

AI-Based Cancer Risk Assessment Models: Current Trends Overview

inferred← citeshttps://doi.org/10.1109/icrito66076.2025.11241535openalex-snapshot

Cropsense: Explainable Deep Learning Framework for Accurate Quality Detection in Solanaceous Crops

inferred← citeshttps://doi.org/10.1109/incacct61598.2024.10551029openalex-snapshot

Leveraging Ensemble Techniques for Enhanced Eye State Classification with EEG Data

inferred← citeshttps://doi.org/10.1109/inspect67393.2025.11350356openalex-snapshot

CropSense: Deep Learning Approach for Quality Detection in Solanaceous Crops

inferred← citeshttps://doi.org/10.1186/s40068-024-00378-zopenalex-snapshot

AirNet: predictive machine learning model for air quality forecasting using web interface

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3956683/v1openalex-snapshot

Web-Based Machine Learning Framework for Authenticating News: A Fake News Detection System

inferred← citeshttps://doi.org/10.21203/rs.3.rs-7208431/v1openalex-snapshot

Integrating deep CNN models for multilingual Sign Language recognition: A SignLink-based approach for Bengali and English

inferred← citeshttps://doi.org/10.2174/9789815165432124070007openalex-snapshot

Enhancement of Breast Cancer Screening through Texture and Deep Feature Fusion Model using MLO and CC View Mammograms

inferred← citeshttps://doi.org/10.22399/ijcesen.812openalex-snapshot

BreastHybridNet: A Hybrid Deep Learning Framework for Breast Cancer Diagnosis Using Mammogram Images

inferred← citeshttps://doi.org/10.3390/agriculture15121310openalex-snapshot

Tomato Ripening Detection in Complex Environments Based on Improved BiAttFPN Fusion and YOLOv11-SLBA Modeling

inferred← citeshttps://doi.org/10.3390/brainsci16010037openalex-snapshot

A Multi-Task EfficientNetV2S Approach with Hierarchical Hybrid Attention for MRI Enhancing Brain Tumor Segmentation and Classification

inferred← citeshttps://doi.org/10.5120/ijca2024924027openalex-snapshot

CNN-Based Early Diagnosis of Breast Cancer with Variable Image Resolutions

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.