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researcher

Mikhail Lisovsky

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedLearn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification

7 citations · 10 across the 2 of their papers we have counts for

collaborators

3 papers

eess.IV2021★ 3 cited

A Petri Dish for Histopathology Image Analysis

Jerry Wei, Arief Suriawinata, Bing Ren +9

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…

cs.CV2020★ 7 cited

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

Jerry Wei, Arief Suriawinata, Bing Ren +10

Applying curriculum learning requires both a range of difficulty in data and a method for determining the difficulty of examples. In many tasks, however, satisfying these requireme…

eess.IV2019

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation

Jason W. Wei, Arief A. Suriawinata, Louis J. Vaickus +10

Histological classification of colorectal polyps plays a critical role in both screening for colorectal cancer and care of affected patients. An accurate and automated algorithm fo…

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