Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images-Reference-Cited by-同舟云学术

Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images

Author:

Wang Zhenzhen¹^ORCID,Saoud Carla²,Wangsiricharoen Sintawat²,James Aaron W.²,Popel Aleksander S.³,Sulam Jeremias¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, Mathematical Institute of Data Science, Johns Hopkins University, Baltimore, MD, USA

2. Department of Pathology, Johns Hopkins Medicine, Baltimore, MD, USA

3. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA

Funder

CISCO Research

NIH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference61 articles.

2. On calibration of modern neural networks;guo;Proc Int Conf Mach Learn,2017

3. Learning with confident examples: Rank pruning for robust classification with noisy labels;northcutt;Proc UAI,2017

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