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Conferences > FiO > 2023 > JM7A > JM7A.95

Deep CBCNet: A Novel Deep Learning Framework for Accurate CBC Classification

Shaik Ahmadsaidulu, Abhishek Tiwari, Oindrila Banik, and Earu Banoth

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Abstract

In this work, we propose an efficient deep-learning algorithm (Deep CBCNet) for CBC classification, utilizing modified YOLOv5. It achieves accurate classification by automatically extracting informative features from CBC data, offering potential for improving clinical decision-making with 96.3% accuracy.

© 2023 The Author(s)

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