Cancer Cell Classification From Peripheral Blood Smear Data Using the YOLOv8 Architecture

Cancer Cell Classification From Peripheral Blood Smear Data Using the YOLOv8 Architecture

The accurate classification of cancer cells in the peripheral blood is essential for the diagnosis of leukemia and has traditionally been carried out by analyzing laboratory images. In this context, the use of deep learning techniques facilitates decision-making and accelerates the early diagnosis o...

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Bibliographic Details
Main Authors: Joao C. S. Nunes, Jose E. B. De S. Linhares, Miguel Angel Orellana Postigo, Daniel Guzman del Rio, Angilberto Muniz Ferreira Sobrinho, Israel Gondres Torne
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Leukemia
computer vision
object classification
deep learning
YOLOv8
Online Access:https://ieeexplore.ieee.org/document/11014521/
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https://ieeexplore.ieee.org/document/11014521/

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