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Learning with less data via Weakly Labeled Patch Classification in
  Digital Pathology
v1v2v3 (latest)

Learning with less data via Weakly Labeled Patch Classification in Digital Pathology

27 November 2019
Eu Wern Teh
Graham W. Taylor
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Learning with less data via Weakly Labeled Patch Classification in Digital Pathology"

12 / 12 papers shown
Title
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures
Ching-Kai Lin
Di-Chun Wei
Yun-Chien Cheng
85
0
0
09 Apr 2024
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
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
Attention-based Dynamic Subspace Learners for Medical Image Analysis
Attention-based Dynamic Subspace Learners for Medical Image Analysis
V. SukeshAdiga
Jose Dolz
H. Lombaert
49
1
0
18 Jun 2022
Understanding the impact of image and input resolution on deep digital
  pathology patch classifiers
Understanding the impact of image and input resolution on deep digital pathology patch classifiers
Eu Wern Teh
Graham W. Taylor
21
0
0
29 Apr 2022
Towards better understanding and better generalization of few-shot
  classification in histology images with contrastive learning
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Jiawei Yang
Hanbo Chen
Jiangpeng Yan
Xiaoyu Chen
Jianhua Yao
VLM
69
22
0
18 Feb 2022
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
88
21
0
23 Jan 2022
Learning with Less Labels in Digital Pathology via Scribble Supervision
  from Natural Images
Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images
Eu Wern Teh
Graham W. Taylor
15
1
0
07 Jan 2022
Cats, not CAT scans: a study of dataset similarity in transfer learning
  for 2D medical image classification
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
Irma van den Brandt
F. Fok
B. Mulders
Joaquin Vanschoren
Veronika Cheplygina
43
4
0
13 Jul 2021
Batch-Incremental Triplet Sampling for Training Triplet Networks Using
  Bayesian Updating Theorem
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem
Milad Sikaroudi
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
H. R. Tizhoosh
22
3
0
10 Jul 2020
Offline versus Online Triplet Mining based on Extreme Distances of
  Histopathology Patches
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches
Milad Sikaroudi
Benyamin Ghojogh
Amir Safarpoor
Fakhri Karray
Mark Crowley
H. R. Tizhoosh
53
17
0
04 Jul 2020
Supervision and Source Domain Impact on Representation Learning: A
  Histopathology Case Study
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study
Milad Sikaroudi
Amir Safarpoor
Benyamin Ghojogh
Sobhan Shafiei
Mark Crowley
H. R. Tizhoosh
SSLOOD
32
10
0
10 May 2020
Deep Transfer Learning for Texture Classification in Colorectal Cancer
  Histology
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology
Srinath Jayachandran
Ashlin Ghosh
MedIm
32
8
0
03 Apr 2020
1