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Learning Where to See: A Novel Attention Model for Automated
  Immunohistochemical Scoring

Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring

26 March 2019
Talha Qaiser
Nasir M. Rajpoot
ArXiv (abs)PDFHTML

Papers citing "Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring"

17 / 17 papers shown
Title
HistoGym: A Reinforcement Learning Environment for Histopathological
  Image Analysis
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis
Zhi-Bo Liu
Xiaobo Pang
Jizhao Wang
Shuai Liu
Chen Li
91
1
0
16 Aug 2024
Multi-Stain Multi-Level Convolutional Network for Multi-Tissue Breast
  Cancer Image Segmentation
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
61
1
0
09 Jun 2024
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and
  Pyramid Sampling
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
Şahan Yoruç Selçuk
Xilin Yang
Bijie Bai
Yijie Zhang
Yuzhu Li
...
Goren Kolodney
Karine Atlan
Tal Keidar Haran
N. Pillar
Aydogan Ozcan
32
7
0
01 Apr 2024
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide
  Image Classification
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
Tingting Zheng
Kui Jiang
Hongxun Yao
113
4
0
09 Mar 2024
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
Yu Ming
Zihao Wu
Jie Yang
Danyi Li
Yuan Gao
Changxin Gao
Gui-Song Xia
Yuanqing Li
Li Liang
Jin-Gang Yu
93
0
0
26 Feb 2024
Asymmetric Co-Training with Explainable Cell Graph Ensembling for
  Histopathological Image Classification
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification
Ziqi Yang
Zhongyu Li
Chen Liu
Xiangde Luo
Xingguang Wang
Dou Xu
Chao-Ting Li
Xiaoying Qin
Meng Yang
Long Jin
74
1
0
24 Aug 2023
RLogist: Fast Observation Strategy on Whole-slide Images with Deep
  Reinforcement Learning
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning
Boxuan Zhao
Jun Zhang
Deheng Ye
Jiancheng Cao
Xiao Han
Qiang Fu
Wei Yang
OffRL
84
10
0
04 Dec 2022
Interpretable HER2 scoring by evaluating clinical Guidelines through a
  weakly supervised, constrained Deep Learning Approach
Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach
Manh Dan Pham
C. Tilmant
Stéphanie Petit
I. Salmon
S. Hadj
Rutger Fick
32
9
0
17 Nov 2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide
  Images
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
75
46
0
26 Apr 2022
Magnifying Networks for Images with Billions of Pixels
Magnifying Networks for Images with Billions of Pixels
Neofytos Dimitriou
Ognjen Arandjelovic
66
2
0
12 Dec 2021
An End-to-End Breast Tumour Classification Model Using Context-Based
  Patch Modelling- A BiLSTM Approach for Image Classification
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification
S. Tripathi
S. Singh
H. Lee
25
47
0
05 Jun 2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou
Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MAOffRLMedIm
77
149
0
05 Mar 2021
Microscope Based HER2 Scoring System
Microscope Based HER2 Scoring System
Jun Zhang
Kuan Tian
Pei Dong
Haocheng Shen
Kezhou Yan
Jianhua Yao
Junzhou Huang
Xiao Han
48
4
0
15 Sep 2020
Extending Unsupervised Neural Image Compression With Supervised
  Multitask Learning
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
David Tellez
D. Höppener
Cornelis Verhoef
D. Grünhagen
Pieter M H Nierop
M. Drozdzal
Jeroen van der Laak
F. Ciompi
MedIm
65
31
0
15 Apr 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
162
582
0
28 Dec 2019
Deep Learning for Whole Slide Image Analysis: An Overview
Deep Learning for Whole Slide Image Analysis: An Overview
Dennis Núñez
Ognjen Arandjelović
Peter D Caie
MedIm
98
272
0
18 Oct 2019
Fast and Accurate Tumor Segmentation of Histology Images using
  Persistent Homology and Deep Convolutional Features
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features
Talha Qaiser
Yee Wah Tsang
D. Taniyama
Naoya Sakamoto
Kazuaki Nakane
David B. A. Epstein
Nasir M. Rajpoot
70
181
0
09 May 2018
1