A Framework for Segmentation and Classification of Blood Cells Using Generative Adversarial Networks

A Framework for Segmentation and Classification of Blood Cells Using Generative Adversarial Networks

Blood smear analysis is often used to diagnose diseases like malaria, Anemia, Leukemia, etc. Morphological changes, such as size, shapes, and color, are receiving much attention in pathological analysis. Existing methods for detecting, diagnosing and analyzing blood smears cannot quantify overlapped...

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Bibliographic Details
Main Authors: Zakir Khan, Syed Hamad Shirazi, Muhammad Shahzad, Arslan Munir, Assad Rasheed, Yong Xie, Sarah Gul
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Segmentation
classification
convolutional neural network
generator
discriminator
generative adversarial network
Online Access:https://ieeexplore.ieee.org/document/10474008/

Internet

https://ieeexplore.ieee.org/document/10474008/

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