Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation

ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning

(2022) Hao Gong et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A Weakly Supervised Deep Learning Method for Guiding Ovarian Cancer Treatment and Identifying an Effective Biomarker

(2022) Ching-Wei Wang et al.   Cancers

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

(2021) Xiangbin Liu et al.   Sustainability

A survey of deep learning models in medical therapeutic areas

(2021) Alberto Nogales et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep Multi-Magnification Networks for multi-class breast cancer image segmentation

(2021) David Joon Ho et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides

(2021) Abtin Riasatian et al.   MEDICAL IMAGE ANALYSIS

A Hybrid-Attention Nested UNet for Nuclear Segmentation in Histopathological Images

(2021) Hongliang He et al.   Frontiers in Molecular Biosciences

EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images

(2021) Van-Truong Pham et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Colorectal Histology Tumor Detection Using Ensemble Deep Neural Network

(2021) Sourodip Ghosh et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Deep Learning Fast Screening Approach on Cytological Whole Slides for Thyroid Cancer Diagnosis

(2021) Yi-Jia Lin et al.   Cancers

DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images

(2021) Felipe André Zeiser et al.   EXPERT SYSTEMS WITH APPLICATIONS

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

(2020) Jiawen Yao et al.   MEDICAL IMAGE ANALYSIS

Enhancing U-Net with Spatial-Channel Attention Gate for Abnormal Tissue Segmentation in Medical Imaging

(2020) Trinh Le Ba Khanh et al.   Applied Sciences-Basel

Deep neural network models for computational histopathology: A survey

(2020) Chetan L. Srinidhi et al.   MEDICAL IMAGE ANALYSIS

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features

(2019) Talha Qaiser et al.   MEDICAL IMAGE ANALYSIS

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

A Multi-Organ Nucleus Segmentation Challenge

(2019) Neeraj Kumar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation

(2018) Holger R. Roth et al.   MEDICAL IMAGE ANALYSIS

Deep learning based tissue analysis predicts outcome in colorectal cancer

(2018) Dmitrii Bychkov et al.   Scientific Reports

Machine Learning Methods for Histopathological Image Analysis

(2018) Daisuke Komura et al.   Computational and Structural Biotechnology Journal

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

(2018) Mahendra Khened et al.   MEDICAL IMAGE ANALYSIS

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

(2018) Simon Graham et al.   MEDICAL IMAGE ANALYSIS

Gland Instance Segmentation Using Deep Multichannel Neural Networks

(2017) Yan Xu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Gland segmentation in colon histology images: The glas challenge contest

(2017) Korsuk Sirinukunwattana et al.   MEDICAL IMAGE ANALYSIS

Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization

(2017) Philipp Kainz et al.   PeerJ

Collaborative analysis of multi-gigapixel imaging data using Cytomine

(2016) Raphaël Marée et al.   BIOINFORMATICS

Multi-class texture analysis in colorectal cancer histology

(2016) Jakob Nikolas Kather et al.   Scientific Reports

Weakly supervised histopathology cancer image segmentation and classification

(2014) Yan Xu et al.   MEDICAL IMAGE ANALYSIS

Automatic segmentation of colon glands using object-graphs

(2009) Cigdem Gunduz-Demir et al.   MEDICAL IMAGE ANALYSIS