Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning

17 November 2015

Lei Jimmy Ba

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

29 / 29 papers shown

Title
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning Jiuyang Dong Junjun Jiang Kui Jiang Jiahan Li Yongbing Zhang 45 0 0 28 Feb 2025
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 24 18 0 05 Jul 2023
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging Lukasz Struski Dawid Rymarczyk Arkadiusz Lewicki R. Sabiniewicz Jacek Tabor Bartosz Zieliñski 21 5 0 18 Jun 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling Dixian Zhu Bokun Wang Zhi Chen Yaxing Wang Milan Sonka Xiaodong Wu Tianbao Yang 19 3 0 14 May 2023
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 28 0 0 03 Feb 2023
Using Multiple Instance Learning to Build Multimodal Representations Peiqi Wang W. Wells Seth Berkowitz Steven Horng Polina Golland SSL 24 6 0 11 Dec 2022
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development I. Zingman B. Stierstorfer C. Lempp Fabian Heinemann OOD MedIm 27 11 0 14 Oct 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 Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 25 56 0 18 Aug 2022
Inference of captions from histopathological patches M. Tsuneki F. Kanavati 8 31 0 07 Feb 2022
Multi-Attention Multiple Instance Learning A. Konstantinov Lev V. Utkin 12 13 0 11 Dec 2021
COVID-view: Diagnosis of COVID-19 using Chest CT Shreeraj Jadhav Gaofeng Deng M. Zawin Arie Kaufman 46 18 0 09 Aug 2021
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images F. Kanavati M. Tsuneki MedIm 31 23 0 26 Apr 2021
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification A. Perakis A. Gorji Samriddhi Jain K. Chaitanya Simone Rizza E. Konukoglu SSL 21 33 0 30 Mar 2021
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification Yanlun Tu Houchao Lei Wei Long Yang Yang 25 16 0 17 Mar 2021
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 193 117 0 16 Jul 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 44 82 0 17 Mar 2020
Multi-attention Networks for Temporal Localization of Video-level Labels Lijun Zhang Srinath Nizampatnam Ahana Gangopadhyay Marcos V. Conde 22 7 0 15 Nov 2019
Multiple instance dense connected convolution neural network for aerial image scene classification Qi Bi K. Qin Zhili Li Han Zhang Kai Xu 20 110 0 22 Aug 2019
An embarrassingly simple approach to neural multiple instance classification Amina Asif F. Minhas 11 14 0 06 May 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 17 996 0 26 Feb 2019
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images I. Cortés-Ciriano A. Bender MedIm 27 51 0 22 Nov 2018
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology Heather D. Couture J. S. Marron C. Perou M. Troester Marc Niethammer 3DH 17 61 0 13 Jun 2018
Microscopy Cell Segmentation via Convolutional LSTM Networks Assaf Arbelle Tammy Riklin-Raviv 42 73 0 29 May 2018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations Weili Nie Yang Zhang Ankit B. Patel FAtt 8 151 0 18 May 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models Jacob R. Kauffmann K. Müller G. Montavon DRL 34 96 0 16 May 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis V. Cheplygina Marleen de Bruijne J. Pluim 16 744 0 17 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 26 121 0 21 Mar 2018
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 45 1,748 0 13 Feb 2018
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 41 641 0 10 Nov 2017