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

29 October 2019

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

23 / 23 papers shown

Title
GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSI Lei Su 75 0 0 13 May 2025
Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion Soroush Oskouei Marit Valla André Pedersen Erik Smistad V. G. Dale ... T. Langø M. Ramnefjell L. A. Akslen Gabriel Kiss H. Sorger 80 1 0 20 Jun 2024
Multi-Stain Multi-Level Convolutional Network for Multi-Tissue Breast Cancer Image Segmentation Akash Modi S. Jha Purnendu Mishra Rajiv Kumar Kiran R. Aatre Gursewak Singh Shubham Mathur 68 1 0 09 Jun 2024
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 71 1 0 29 Mar 2024
Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning Zheng Zhang Xiaolei Zhang Yaolei Qi Guanyu Yang 42 3 0 10 Jul 2023
The State of Applying Artificial Intelligence to Tissue Imaging for Cancer Research and Early Detection Michael Robben Amir Hajighasemi M. Nasr Jai Prakesh Veerla Anne M. Alsup ... Kelli Fowlds Parisa Boodaghi Malidarreh Paul Koomey Jillur Rahman Saurav Jacob M. Luber AI4CE 66 5 0 29 Jun 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 108 60 0 13 Apr 2023
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles Mehdi Naouar Gabriel Kalweit Ignacio Mastroleo P. Poxleitner M. Metzger Joschka Boedecker M. Kalweit 47 2 0 29 Mar 2023
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 104 25 0 23 Mar 2023
DPA-P2PNet: Deformable Proposal-aware P2PNet for Accurate Point-based Cell Detection Zhongyi Shui S. Zheng Chenglu Zhu Shichuan Zhang Xiaoxuan Yu Honglin Li Jingxiong Li Pingyi Chen Ling Yang 3DPC 104 5 0 05 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 70 19 0 07 Jan 2023
Stain-invariant self supervised learning for histopathology image analysis Alexandre Tiard A. Wong D. J. Ho Yang Wu Eliram Nof Alvin C. Goh Stefano Soatto Saad Nadeem OOD 37 6 0 14 Nov 2022
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 23 17 0 09 Aug 2022
Efficient High-Resolution Deep Learning: A Survey Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis MedIm 158 21 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 48 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 76 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 41 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 82 46 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 111 26 0 28 Mar 2022
A QuadTree Image Representation for Computational Pathology R. Jewsbury A. Bhalerao Nasir M. Rajpoot 76 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 112 39 0 04 Mar 2021
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment D. J. Ho Narasimhan P. Agaram P. Schueffler Chad M. Vanderbilt M. Jean M. Hameed Thomas J. Fuchs 59 38 0 02 Jul 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 166 584 0 28 Dec 2019