About this document
CNN for White Blood Cell Classification by harithamuvvala02 is a document available to read on EtoBox.
This document presents a Convolutional Neural Network (CNN) approach for the classification of white blood cell (WBC) subtypes and analysis of leukocyte disorders, addressing the limitations of traditional manual microscopy. The proposed method utilizes deep learning techniques to automate the classification and counting of WBCs, achieving high accuracy in identifying various blood disorders. The study emphasizes the efficiency of CNNs in medical diagnostics, aiming to enhance the accuracy and speed of dise
- Author
- harithamuvvala02
- Language
- EN