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Classifying and Segmenting Microscopy Images Using Convolutional
  Multiple Instance Learning

Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning

17 November 2015
Oren Z. Kraus
Lei Jimmy Ba
B. Frey
ArXivPDFHTML

Papers citing "Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning"

9 / 9 papers shown
Title
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Jiuyang Dong
Junjun Jiang
Kui Jiang
Jiahan Li
Yongbing Zhang
33
0
0
28 Feb 2025
Rethinking Multiple Instance Learning for Whole Slide Image
  Classification: A Good Instance Classifier is All You Need
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Linhao Qu
Yingfan Ma
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
VLM
11
15
0
05 Jul 2023
From slides (through tiles) to pixels: an explainability framework for
  weakly supervised models in pre-clinical pathology
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology
Marco Bertolini
Van-Khoa Le
Jake Pencharz
A. Poehlmann
Djork-Arné Clevert
Santiago D. Villalba
F. Montanari
6
0
0
03 Feb 2023
Using Multiple Instance Learning to Build Multimodal Representations
Using Multiple Instance Learning to Build Multimodal Representations
Peiqi Wang
W. Wells
Seth Berkowitz
Steven Horng
Polina Golland
SSL
8
6
0
11 Dec 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
8
56
0
18 Aug 2022
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for
  Microscopy Image Classification
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification
Yanlun Tu
Houchao Lei
Wei Long
Yang Yang
17
16
0
17 Mar 2021
Modern Hopfield Networks and Attention for Immune Repertoire
  Classification
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich
Bernhard Schafl
Hubert Ramsauer
Milena Pavlović
Lukas Gruber
...
Johannes Brandstetter
G. K. Sandve
Victor Greiff
Sepp Hochreiter
G. Klambauer
166
117
0
16 Jul 2020
KekuleScope: prediction of cancer cell line sensitivity and compound
  potency using convolutional neural networks trained on compound images
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
I. Cortés-Ciriano
A. Bender
MedIm
12
51
0
22 Nov 2018
A Theoretical Explanation for Perplexing Behaviors of
  Backpropagation-based Visualizations
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie
Yang Zhang
Ankit B. Patel
FAtt
4
151
0
18 May 2018
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