A Joint Multi-decoder Dual-attention U-Net Framework for Tumor Segmentation in Whole Slide Images

A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks

(2023) Heba Abdel-Nabi et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

A multi-scale 3-stacked-layer coned U-net framework for tumor segmentation in whole slide images

(2023) Heba Abdel-Nabi et al.   Biomedical Signal Processing and Control

Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images

(2023) Adnan Haider et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

LFANet: Lightweight feature attention network for abnormal cell segmentation in cervical cytology images

(2022) Yanli Zhao et al.   COMPUTERS IN BIOLOGY AND MEDICINE

DigestPath: a Benchmark Dataset with Challenge Review for the Pathological Detection and Segmentation of Digestive-System

(2022) Qian Da et al.   MEDICAL IMAGE ANALYSIS

Fast Segmentation of Metastatic Foci in H&E Whole-Slide Images for Breast Cancer Diagnosis

(2022) Muhammad-Adil Khalil et al.   Diagnostics

Towards a guideline for evaluation metrics in medical image segmentation

(2022) Dominik Müller et al.   BMC Research Notes

Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture

(2021) Rüdiger Schmitz et al.   MEDICAL IMAGE ANALYSIS

Deep learning in histopathology: the path to the clinic

(2021) Jeroen van der Laak et al.   NATURE MEDICINE

A deep learning based multiscale approach to segment the areas of interest in whole slide images

(2021) Yanbo Feng et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A generalized deep learning framework for whole-slide image segmentation and analysis

(2021) Mahendra Khened et al.   Scientific Reports

Accurate Segmentation of Nuclear Regions with Multi-Organ Histopathology Images Using Artificial Intelligence for Cancer Diagnosis in Personalized Medicine

(2021) Tahir Mahmood et al.   Journal of Personalized Medicine

Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review

(2020) Asha Das et al.   JOURNAL OF DIGITAL IMAGING

PAIP 2019: Liver cancer segmentation challenge

(2020) Yoo Jung Kim et al.   MEDICAL IMAGE ANALYSIS

HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images

(2020) Mart van Rijthoven et al.   MEDICAL IMAGE ANALYSIS

A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images

(2020) Xiyue Wang 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

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

(2019) Péter Bándi et al.   PeerJ

Detection and Classification of Cancer in Whole Slide Breast Histopathology Images Using Deep Convolutional Networks

(2018) Baris Gecer et al.   PATTERN RECOGNITION

Breast Cancer Histopathology Image Analysis: A Review

(2014) Mitko Veta et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

The Wonderful Colors of the Hematoxylin–Eosin Stain in Diagnostic Surgical Pathology

(2014) John K. C. Chan   INTERNATIONAL JOURNAL OF SURGICAL PATHOLOGY

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

(2009) Salvador García et al.   INFORMATION SCIENCES