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Article

Generalizability in White Blood Cells’ Classification Problem

2021-05-14

Abstract excerpt

Counting and classifying white blood cells (WBCs) in blood samples helps the early diagnosis of the disease. Many works have been done to develop machine learning-based methods to count WBCs. However, most of these works have low generalizability, and their accuracy decreases sharply as the dataset changes. In this paper, a new method is presented that helps to increase the generalization power. In this method, fi...

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Identifiers and source

Literature Corpus work
75f16e0e-2e45-5b7d-8ca7-f0e310dd66e2
DOI
10.1101/2021.05.12.443717
Open publication

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Generalizability in White Blood Cells’ Classification ProblemDOI 10.1101/2021.05.12.443717
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