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Deep Instance-Level Hard Negative Mining Model for Histopathology Images
v1v2v3 (latest)

Deep Instance-Level Hard Negative Mining Model for Histopathology Images

24 June 2019
Meng Li
Lin Wu
Arnold Wiliem
Kun-li Zhao
Teng Zhang
Brian C. Lovell
ArXiv (abs)PDFHTML

Papers citing "Deep Instance-Level Hard Negative Mining Model for Histopathology Images"

9 / 9 papers shown
Title
Cross-Patient Pseudo Bags Generation and Curriculum Contrastive Learning for Imbalanced Multiclassification of Whole Slide Image
Yonghuang Wu
Xuan Xie
Xinyuan Niu
Chengqian Zhao
Jinhua Yu
68
0
0
18 Nov 2024
Hard Negative Sample Mining for Whole Slide Image Classification
Hard Negative Sample Mining for Whole Slide Image Classification
Wentao Huang
Xiaoling Hu
Shahira Abousamra
Prateek Prasanna
Chao Chen
VLM
80
6
0
03 Oct 2024
Advances in Multiple Instance Learning for Whole Slide Image Analysis:
  Techniques, Challenges, and Future Directions
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions
Jun Wang
Yu Mao
Nan Guan
Chun Jason Xue
96
3
0
18 Aug 2024
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining
  Strategy
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy
Q. H. Cap
Atsushi Fukuda
S. Kagiwada
H. Uga
Nobusuke Iwasaki
Hitoshi Iyatomi
80
8
0
05 Sep 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining
  for Whole Slide Image Classification
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
Wenhao Tang
Sheng Huang
Xiaoxian Zhang
Fengtao Zhou
Yi Zhang
Bo Liu
118
48
0
28 Jul 2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical
  Attention-Guided Multiple Instance Learning for Whole Slide Image
  Classification
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong
Hao Chen
Joseph J. Y. Sung
Irwin King
MedIm
88
38
0
19 Jan 2023
Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training
Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training
Hideaki Okamoto
Takakiyo Nomura
K. Nabeshima
Jun Hashimoto
Hitoshi Iyatomi
Hitoshi Iyatomi
31
0
0
18 Aug 2021
Weakly Supervised Learning Guided by Activation Mapping Applied to a
  Novel Citrus Pest Benchmark
Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
Edson Bollis
Hélio Pedrini
Sandra Avila
38
24
0
22 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
164
584
0
28 Dec 2019
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