Image Classification of Leukemic Cells Using Invariants of Triangle-Free Graphs as Synthetic Features

Development of efficient methods of the cellular image processing is an important avenue for practical application of modern artificial intelligence techniques. In particular, practical hematology requires automatic classification of images with or without leukemic (blast) cells in peripheral blood...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Dmitry Muzalevskiy, Ivan Torshin
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Adjacency matrices gradient boosting graph invariants image classification neural networks triangle-free graphs
Online Access:	https://ieeexplore.ieee.org/document/10453555/