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1910.13042
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Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation
29 October 2019
D. J. Ho
D. V. K. Yarlagadda
Timothy D’alfonso
M. Hanna
Anne Grabenstetter
Peter Ntiamoah
E. Brogi
L. Tan
Thomas J. Fuchs
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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
113
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
61
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
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