Feature Extraction using CNN for Peripheral Blood Cells Recognition

Ammar, Mohammed and Daho, Mostafa and Harrar, Khaled and Laidi, Amel (2021) Feature Extraction using CNN for Peripheral Blood Cells Recognition. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

INTRODUCTION: The diagnosis of hematological diseases is based on the morphological differentiation of the peripheral blood cell types.

OBJECTIVES: In this work, a hybrid model based on CNN features extraction and machine learning classifiers were proposed to improve peripheral blood cell image

Item Type: Article
Date Deposited: 04 Mar 2026 15:01
Last Modified: 11 Apr 2026 15:56
URI: http://eprints.eai.eu/id/eprint/37450

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