Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image
Segmentation

Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation

29 October 2019

D. V. K. Yarlagadda

Timothy D’alfonso

Anne Grabenstetter

Thomas J. Fuchs

Papers citing "Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation"

15 / 15 papers shown

Title
GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSI Lei Su 36 0 0 13 May 2025
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning David Vázquez-Lema E. Mosqueira-Rey Elena Hernández-Pereira Carlos Fernández-Lozano Fernando Seara-Romera Jorge Pombo-Otero LM&MA 38 1 0 29 Mar 2024
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology Jeongun Ryu Aaron Valero Puche Jaewoong Shin Seonwook Park Biagio Brattoli ... S. Cho K. Paeng C-Y. Ock D. Yoo Sérgio Pereira 41 25 0 23 Mar 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer Pushpak Pati Guillaume Jaume Zeineb Ayadi Kevin Thandiackal Behzad Bozorgtabar M. Gabrani O. Goksel 20 17 0 07 Jan 2023
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction D. J. Ho Narasimhan P. Agaram M. Jean Stephanie D. Suser Cynthia Chu ... P. Meyers L. Wexler J. Healey Thomas J. Fuchs M. Hameed 16 15 0 09 Aug 2022
Efficient High-Resolution Deep Learning: A Survey Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis MedIm 21 19 0 26 Jul 2022
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma Gabriele Campanella D. J. Ho I. Häggström Anton S. Becker Jason C. Chang Chad M. Vanderbilt Thomas J. Fuchs 13 8 0 21 Jun 2022
A review of machine learning approaches, challenges and prospects for computational tumor pathology Liangrui Pan Zhichao Feng Shaoliang Peng AI4CE 27 7 0 31 May 2022
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation Nikhil Cherian Kurian Amit Lohan G. Verghese Nimish Dharamshi S. Meena ... Fangfang Liu Cheryl Gillet S. Rane A. Grigoriadis A. Sethi SSeg 17 10 0 03 May 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 22 43 0 26 Apr 2022
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation D. J. Ho M. Chui Chad M. Vanderbilt J. Jung M. Robson Chan-Sik Park Jin Roh Thomas J. Fuchs 39 22 0 28 Mar 2022
A QuadTree Image Representation for Computational Pathology R. Jewsbury A. Bhalerao Nasir M. Rajpoot 30 9 0 24 Aug 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs Valentin Anklin Pushpak Pati Guillaume Jaume Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Jean-Philippe Thiran M. Sibony M. Gabrani O. Goksel 59 38 0 04 Mar 2021
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 343 10,639 0 19 Feb 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 451 15,652 0 02 Nov 2015