Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images

10 May 2017

Bram van Ginneken

Papers citing "Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images"

24 / 24 papers shown

Title
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi-Mou Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 22 50 0 13 Apr 2023
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search S. Hemati Shivam Kalra Morteza Babaie H. R. Tizhoosh 22 10 0 29 Aug 2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images Kevin Thandiackal Boqi Chen Pushpak Pati Guillaume Jaume Drew F. K. Williamson M. Gabrani O. Goksel 20 43 0 26 Apr 2022
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification Zakaria Senousy M. Abdelsamea M. Gaber Moloud Abdar R. Acharya Abbas Khosravi S. Nahavandi 10 55 0 24 Aug 2021
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers Xintong Li Xirong Li Chen Li M. Rahaman Jian Wu Xiaoqi Li Yudong Yao M. Grzegorzek ViT MedIm 30 43 0 13 Apr 2021
Hierarchical Graph Representations in Digital Pathology Pushpak Pati Guillaume Jaume A. Foncubierta Florinda Feroce A. Anniciello ... G. Botti Jean-Philippe Thiran Maria Frucci O. Goksel M. Gabrani 15 117 0 22 Feb 2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches Chen Li Xintong Li M. Rahaman Xirong Li Hongzan Sun ... Yong Zhang Xiaoqi Li Jian Wu Yudong Yao M. Grzegorzek 33 191 0 21 Feb 2021
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends Naira Elazab Hassan H. Soliman Shaker El-Sappagh S. Islam Mohammed M Elmogy 17 20 0 10 Nov 2020
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images Srijay Deshpande F. Minhas S. Graham Nasir M. Rajpoot MedIm 21 8 0 11 Aug 2020
Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review Subrato Bharati Prajoy Podder Hossain Mondal 6 68 0 29 May 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 22 563 0 28 Dec 2019
Deep Learning Models for Digital Pathology A. Bentaieb Ghassan Hamarneh MedIm 23 12 0 27 Oct 2019
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks Sara Hosseinzadeh Kassani P. H. Kassani M. Wesolowski Kevin A. Schneider Ralph Deters OOD 47 106 0 26 Sep 2019
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture Rüdiger Schmitz F. Madesta M. Nielsen Jenny Krause R. Werner T. Rösch MedIm AI4CE 12 85 0 24 Sep 2019
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Chandra Churh Chatterjee G. Krishna 11 9 0 20 Aug 2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods Miriam Hagele P. Seegerer Sebastian Lapuschkin M. Bockmayr Wojciech Samek Frederick Klauschen K. Müller Alexander Binder 8 161 0 15 Aug 2019
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Muhammad Shaban Ruqayya Awan M. Fraz A. Azam David R. J. Snead Nasir M. Rajpoot MedIm 19 139 0 22 Jul 2019
Methods for Segmentation and Classification of Digital Microscopy Tissue Images Q. Vu S. Graham Minh Nguyen Nhat To Muhammad Shaban Talha Qaiser ... Tianhao Zhao Rajarsi R. Gupta J. T. Kwak Nasir M. Rajpoot Joel H. Saltz 8 265 0 31 Oct 2018
BACH: Grand Challenge on Breast Cancer Histology Images Guilherme Aresta Teresa Araújo S. Kwok Sai Saketh Chennamsetty P. MohammedSafwanK. ... L. Boulmane A. Campilho C. Eloy A. Polónia Paulo Aguiar 28 558 0 13 Aug 2018
Towards Deep Cellular Phenotyping in Placental Histology Michael Ferlaino C. A. Glastonbury Carolina Motta-Mejia M. Vatish I. Granne S. Kennedy C. Lindgren C. Nellåker 11 20 0 09 Apr 2018
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images Ruqayya Awan Navid Alemi Koohbanani Muhammad Shaban A. Lisowska Nasir M. Rajpoot 11 62 0 12 Feb 2018
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images Abhinav Agarwalla Muhammad Shaban Nasir M. Rajpoot 14 19 0 27 Jul 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,613 0 19 Feb 2017
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin Mohsen Ghafoorian N. Karssemeijer Tom Heskes M. Bergkamp Joost Wissink ... K. Keizer F.‐E. Leeuw Bram van Ginneken E. Marchiori B. Platel MedIm 207 123 0 24 Oct 2016