Swin Transformer and Momentum Contrast (MoCo) in Leukemia Diagnostics: A New Paradigm in AI-Driven Blood Cell Cancer Classification

Swin Transformer and Momentum Contrast (MoCo) in Leukemia Diagnostics: A New Paradigm in AI-Driven Blood Cell Cancer Classification

Acute Lymphoblastic Leukemia (ALL) is a fast-growing blood cancer that requires prompt diagnosis for effective treatment. Automated image diagnostics offer potential solutions but often lack clinical robustness. Despite their widespread use in medical imaging, Convolutional Neural Networks (CNNs) st...

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Bibliographic Details
Main Authors: Eshika Jain, Pratham Kaushik, Vinay Kukreja, Modafar Ati, Shanmugasundaram Hariharan, Vandana Ahuja, Abhishek Bhattacherjee, Rajesh Kumar Kaushal
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
AI-driven medical imaging
blood cell cancer classification
leukemia diagnosis
machine learning in hematology
momentum contrast (MoCo)
swin transformer
Online Access:https://ieeexplore.ieee.org/document/10973612/
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https://ieeexplore.ieee.org/document/10973612/

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