lsa3edii/Graduation_Project
Medical Diagnosis System for Brain Cancer by Using Deep Learning Techniques
This project offers a mobile application that assists doctors and patients in rapidly screening for brain cancer. Users can upload MRI images, and the system uses AI to analyze them, providing a classification of whether brain cancer is detected or not. It's designed for medical professionals and patients seeking a quicker, less error-prone preliminary diagnosis.
No commits in the last 6 months.
Use this if you need a quick, initial AI-powered assessment of brain MRI scans to help identify potential brain cancer, reducing the time and potential for human error associated with traditional manual inspection.
Not ideal if you require a definitive, final diagnosis, as this system is intended for preliminary screening and should not replace comprehensive medical evaluation.
Stars
8
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 15, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/lsa3edii/Graduation_Project"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
innat/medic-ai
AI Toolkit for Healthcare Imaging in Keras 3
CTCycle/XREPORT-radiological-reports-generator
Automatic generation of descriptive radiological reports from X-RAY scans
ttanida/rgrg
Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"
mida-project/prototype-multi-modality-assistant
[IJHCS] An assistant prototype for breast cancer diagnosis prepared with a multimodality...
LongxiZhou/DLPE-method
A comprehensive platform for analyzing pulmonary parenchyma lesions on chest CT.