Esophageal Cancer Prediction System using Deep Learning Yolo V11 Model
Year: 2025
Type: article
Abstract: Esophageal Cancer Detection System using YOLOv11 aims to improve early diagnosis by automatically detecting cancerous regions in medical images. Using the YOLOv11 deep learning model, trained with machine learning techniques, this system quickly and accurately identifies esophageal cancer, even in its early stages. By analyzing images such as endoscopies and CT scans, it highlights suspicious areas and provides cancer probabilities, aiding clinicians in making better-informed decisions and ultimately improving patient outcomes.
Authors: A. Lavanya M.E., Shiyamala Devi G, Sofiya S, Sushma R
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408886331