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MedAI #36: Weakly supervised tumor detection in whole slide image analysis | Bin Li
MixUp MIL: Novel Data Augmentation for Multiple Instance Learning
Lightning Talk: Multiple Instance Learning - James Leech - NIDC22
Multiple Instance Learning with Quantum Kronecker Kernel
Paper 2: Benchmarking Multi-Instance Learning for Multivariate Time Series Analysis
Visual Tracking Based on Distribution Fields and Online Weighted Multiple Instance Learning
Lucia B. - Multi-Instance Learning Methods for Cancer Detection in Histopathological... - VURS 2021
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Last Updated: September 27, 2026
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When it comes to applying computer vision in the medical field, most tasks involve either 1) image classification for diagnosis or 2) ... Dual Stream Multiple Instance Learning This talk is a recording of the talk given by Jonas Ammeling on BVM 2023 ( bvm-workshop.org). If you want to stay up to date ... Presenter: Christopher Hendra Date & Time: 28 July 2021, 9am-5pm Abstract: In recent years, there has been a surge in the ... Authors: Dinkar Juyal; Siddhant Shingi; Syed Ashar Javed; Harshith Padigela; Chintan Shah; Anand Sampat; Archit Khosla; John ... The statement "If you have any copyright issues on video, please send us an email at khawar512 is an invitation for ... Title: Weakly supervised tumor detection in whole slide image analysis Speaker: Bin Li Abstract: Histopathology is one of the ... This is a short teaser talk of the paper "MixUp MIL: Novel Data Augmentation for Full text available on ScienceDirect: dx.doi.org/10.1016/j.imavis.2013.09.003.
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