YOLO and residual network for colorectal cancer cell detection and counting

YOLO and residual network for colorectal cancer cell detection and counting

The HT-29 cell line, derived from human colon cancer, is valuable for biological and cancer research applications. Early detection is crucial for improving the chances of survival, and researchers are introducing new techniques for accurate cancer diagnosis. This study introduces an efficient deep l...

Full description

Bibliographic Details
Main Authors: Inayatul Haq, Tehseen Mazhar, Rizwana Naz Asif, Yazeed Yasin Ghadi, Najib Ullah, Muhammad Amir Khan, Amal Al-Rasheed
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Biomedical image processing
Computer-aided diagnosis
Medical image analysis
Machine learning
Deep learning
HT-29 cells
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024004341

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024004341

Similar Items