Recognition of Different Types of Leukocytes Using YOLOv2 and Optimized Bag-of-Features

Recognition of Different Types of Leukocytes Using YOLOv2 and Optimized Bag-of-Features

<p>White blood cells (WBCs) protect human body against different types of infections including fungal, parasitic, viral, and bacterial. The detection of abnormal regions in WBCs is a difficult task. Therefore a method is proposed for the localization of WBCs based on YOLOv2-Nucleus-Cytoplasm,...

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Bibliographic Details
Main Author: Muhammad Sharif (7039565) (author)
Other Authors: Javaria Amin (14557730) (author), Ayesha Siddiqa (16870098) (author), Habib Ullah Khan (12024579) (author), Muhammad Sheraz Arshad Malik (16870101) (author), Muhammad Almas Anjum (16870104) (author), Seifedine Kadry (8713629) (author)
Published: 2020
Subjects:
Biomedical and clinical sciences
Clinical sciences
Engineering
Biomedical engineering
Information and computing sciences
Computer vision and multimedia computation
Machine learning
Feature extraction
Cells (biology)
Computational modeling
White blood cells
Image segmentation
Cytoplasm
Leukocytes
DarkNet-19
Recognition
YOLOv2
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