A Petri Dish for Histopathology Image Analysis

no code implementations • 29 Jan 2021 • Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

With the rise of deep learning, there has been increased interest in using neural networks for histopathology image analysis, a field that investigates the properties of biopsy or resected specimens traditionally manually examined under a microscope by pathologists.

Binary Classification Natural Questions +1

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification

no code implementations • 29 Sep 2020 • Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

Based on the nature of histopathology images, a range of difficulty inherently exists among examples, and, since medical datasets are often labeled by multiple annotators, annotator agreement can be used as a natural proxy for the difficulty of a given example.

General Classification Image Classification

D\'etection de conflits dans les communaut\'es \'epist\'emiques en ligne (Conflicts detection in online epistemic communities) [in French]

no code implementations • JEPTALNRECITAL 2012 • Alex Denis, re, Matthieu Quignard, Dominique Fr{\'e}ard, Fran{\c{c}}oise D{\'e}tienne, Michael Baker, Flore Barcellini