Multiple Instance Learning for Heterogeneous Images: Training a CNN for
Histopathology

Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology

13 June 2018

Heather D. Couture

Marc Niethammer

Papers citing "Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology"

12 / 12 papers shown

Title
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides Bo Yu Hechang Chen Yunke Zhang Lele Cong S. Pang Hongren Zhou Z. Wang Xianling Cong 18 4 0 18 Apr 2023
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 11 31 0 29 Nov 2022
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review Heather D. Couture 40 20 0 27 Nov 2022
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification Linhao Qu Xiao-Zhuo Luo Shaolei Liu Manning Wang Zhijian Song VLM 33 54 0 17 Jun 2022
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network Esther Dietrich Patrick Fuhlert Anne Ernst G. Sauter M. Lennartz H. Stiehl Marina Zimmermann Stefan Bonn 25 4 0 26 Nov 2021
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images Boyu Zhang Aleksandar Vakanski Min Xian 22 11 0 05 Oct 2021
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning Noriaki Hashimoto Y. Takagi Hiroki Masuda H. Miyoshi K. Kohno ... Yoshino Kawaguchi Shigeo Nakamura K. Ohshima H. Hontani Ichiro Takeuchi MedIm 29 16 0 08 Jul 2021
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset Erico Tjoa Cuntai Guan XAI FAtt 11 27 0 07 Sep 2020
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images Noriaki Hashimoto D. Fukushima R. Koga Yusuke Takagi Kaho Ko K. Kohno Masato Nakaguro S. Nakamura H. Hontani Ichiro Takeuchi MedIm 6 181 0 06 Jan 2020
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 25 70 0 08 Sep 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 26 200 0 15 Feb 2019
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning Oren Z. Kraus Lei Jimmy Ba B. Frey 164 392 0 17 Nov 2015