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,...
Saved in:
| 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: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models
by: Javaria Amin (14557730)
Published: (2020) -
An Ensemble Deep Learning Approach for Accurate Urinary Sediment Detection Using YOLOv9e and KD-YOLOX-ViT
by: Mansura Naznine (21399893)
Published: (2025) -
Exploring machine learning approaches for biohydrogen production through dark fermentation in wastewater
by: Ibrahim Shomope (22928773)
Published: (2025) -
YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm
by: Prabu Selvam (22330264)
Published: (2025) -
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
by: Muhammad Adeel Asghar (6724982)
Published: (2019)