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GitHub / shaurya-src / TumorInsight
A Brain Tumor Detection and Classification Model built using RESNET50 architecture. The model is also deployed as a web application using Flask framework.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shaurya-src%2FTumorInsight
Stars: 3
Forks: 4
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 36.6 MB
Dependencies:
17
Created: about 3 years ago
Updated: about 1 year ago
Last pushed: almost 3 years ago
Last synced: 4 months ago
Topics: deep-neural-networks, flask, image-processing, kmeans-clustering, neural-network, python, pytorch, resnet-50, watershed
Files
Dependencies
- flask *
- flask_sqlalchemy *
- h5py *
- imutils *
- matplotlib *
- numpy *
- opencv-python *
- pandas *
- pillow *
- requests *
- scikit-image *
- scikit-learn *
- seaborn *
- selenium *
- torch *
- torchvision *
- werkzeug *