Exploiting the Multiscale Information Fusion Capabilities for Aiding the Leukemia Diagnosis Through White Blood Cells Segmentation

Exploiting the Multiscale Information Fusion Capabilities for Aiding the Leukemia Diagnosis Through White Blood Cells Segmentation

Leukemia is one of the most terminal types of blood cancer, and many people suffer from it every year. White blood cells (WBCs) have a significant association with leukemia diagnosis. Research studies reported that leukemia brings changes in WBC count and morphology. WBC accurate segmentation enable...

Full description

Bibliographic Details
Main Authors: Nadeem Akram, Sharjeel Adnan, Muhammad Asif, Syed Muhammad Ali Imran, Muhammad Naveed Yasir, Rizwan Ali Naqvi, Dildar Hussain
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
computer-assisted diagnosis
leukemia diagnosis
WBC count
WBC segmentation
Online Access:https://ieeexplore.ieee.org/document/9768176/

Internet

https://ieeexplore.ieee.org/document/9768176/

Similar Items