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Accurate colorectal tumor segmentation for CT scans based on the label assignment generative adversarial network

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What this work says

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

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Demonstration of tumor associated antigen in normal colon and lung

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Multi-scale Convolutional Neural Networks for Lung Nodule Classification

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U-Net: Convolutional Networks for Biomedical Image Segmentation

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Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images

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Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

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Organ Segmentation from 3D Abdominal CT Images Based on Atlas Selection and Graph Cut

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Generative Adversarial Nets

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Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks

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Comparison of the effect of mean-based method and z-score for field normalization of citations at the level of Web of Science subject categories

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Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs

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Large scale deep learning for computer aided detection of mammographic lesions

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A survey on deep learning in medical image analysis

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Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers

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Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

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Morphometric analysis of white matter lesions in MR images: method and validation

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Fully convolutional networks for semantic segmentation

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SeGAN: Segmenting and Generating the Invisible

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Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case

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Retinal vessel segmentation via deep learning network and fully-connected conditional random fields

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Fully convolutional networks for multi-modality isointense infant brain image segmentation

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A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling

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A CNN Regression Approach for Real-Time 2D/3D Registration

inferredcites →https://doi.org/10.1200/jco.2015.65.9128openalex-snapshot

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

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Screening for colorectal cancer

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Development and validation of a preoperative prediction model for colorectal cancer T-staging based on MDCT images and clinical information

inferredcites →https://doi.org/10.2307/1932409openalex-snapshot

Measures of the Amount of Ecologic Association Between Species

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GAN（Generative Adversarial Nets）

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Colorectal cancer statistics, 2017

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Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

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Fully Convolutional Networks for Semantic Segmentation

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Semantic Segmentation using Adversarial Networks

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Adversarial Networks for the Detection of Aggressive Prostate Cancer

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Segmentation of Liver Metastases in CT Scans by Adaptive Thresholding and Morphological Processing

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Screening for Colorectal Cancer

What points at this work

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

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Generative Adversarial Networks in the Field of Medical Image Segmentation

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Colorectal Cancer

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Automatic segmentation of rectal tumor on diffusion‐weighted images by deep learning with U‐Net

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Hybrid adversarial‐discriminative network for leukocyte classification in leukemia

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Emerging Role of Artificial Intelligence in Colorectal Cancer: Screening and Diagnosis

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DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

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Radiomics approach with deep learning for predicting T4 obstructive colorectal cancer using CT image

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Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis

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Deep learning techniques for tumor segmentation: a review

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A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study

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Transformers for colorectal cancer segmentation in CT imaging

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Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey

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Imaging of colorectal nodal disease

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The Lymphatic System in Colorectal Cancer

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Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) – A Systematic Review

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TMSF-Net: Multi-series fusion network with treeconnect for colorectal tumor segmentation

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Generative adversarial networks in medical image segmentation: A review

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Data augmentation and machine learning techniques for control strategy development in bio-polymerization process

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Rectal tumor segmentation via spatial contextual enrichment and uncertainty-rectified hybrid Semi-Supervised learning

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Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans

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3-D contour-aware U-Net for efficient rectal tumor segmentation in magnetic resonance imaging

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Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

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Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network

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The predictive value of non-enhanced CT radiomics in differentiating early and advanced T-staging of colon cancer

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Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism

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Automatic Pancreas Segmentation Using Double Adversarial Networks With Pyramidal Pooling Module

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Rectal Carcinoma Segmentation Based On Image Pre-processing and Improved U-Net with Residual Block

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ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal Tumor Segmentation

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SCANet: A Unified Semi-Supervised Learning Framework for Vessel Segmentation

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A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans

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Automatic Detection and Segmentation of Colorectal Cancer with Deep Residual Convolutional Neural Network

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Assessment of perceived realism in AI-generated synthetic spine fracture CT images

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Fully semantic segmentation for rectal cancer based on post-nCRT MRl modality and deep learning framework

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A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract

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Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy

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Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test

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Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning

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Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect

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Status quo and future prospects of artificial neural network from the perspective of gastroenterologists

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Colorectal cancer prediction via histopathology segmentation using DC-GAN and VAE-GAN

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New advances in artificial intelligence for the diagnosis and treatment of colorectal cancer: a literature review

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Automated Detection and Classification of Breast Cancer Nuclei with Deep Convolutional Neural Network

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