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

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

Internet

https://ieeexplore.ieee.org/document/10453555/

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