Deep Learning with Permutation-invariant Operator for Multi-instance
Histopathology Classification

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Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification

1 December 2017

Jakub M. Tomczak

Maximilian Ilse

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Papers citing "Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification"

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Title
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics Lu Mi Trung Le Tianxing He Eli Shlizerman U. Sümbül 83 5 0 03 Nov 2023
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images Shivam Kalra Mohammed Adnan S. Hemati Taher Dehkharghanian Shahryar Rahnamayan Hamid Tizhoosh 74 13 0 11 Jun 2021
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning Jiayun Li Wenyuan Li Anthony Sisk Huihui Ye W. D. Wallace W. Speier C. Arnold 67 111 0 05 Nov 2020
Representation Learning of Histopathology Images using Graph Neural Networks Mohammed Adnan Shivam Kalra Hamid R. Tizhoosh OOD 49 100 0 16 Apr 2020
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 71 24 0 18 Nov 2019
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification Marc Combalia João Paulo Papa 81 83 0 30 Dec 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Veronika Cheplygina Marleen de Bruijne J. Pluim 86 761 0 17 Apr 2018