mirzayasirabdullahbaig07/Tumor-Detection-Model-Using-YOLOV11-And-SAM2
A cutting-edge deep learning project that combines YOLOv11 (for real-time object detection) with SAM2 (Segment Anything Model) to accurately detect and segment tumors in medical images. Designed for high precision in healthcare diagnostics and research applications.
This system helps medical professionals quickly identify and outline tumors in medical images. It takes raw medical scans (like X-rays, CTs, or MRIs) and outputs images with tumors highlighted and precisely segmented. This tool is designed for radiologists, oncologists, and medical researchers to aid in diagnostics and analysis.
Use this if you need to rapidly detect and get precise outlines of tumors in medical images to assist with diagnosis or research.
Not ideal if you require a certified medical device for primary diagnosis without human oversight, as this is an assistive tool.
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21
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Language
Python
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Last pushed
Feb 26, 2026
Commits (30d)
0
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