BRAIN TUMOR CLASSIFICATION
A machine learning package that diagnoses brain tumors from MRI (Magnetic Resonance Imaging) scans. It detects if there is a tumor and then classify it in terms of grade, type, and specific location. This program uses a neural network algorithm to detect tumors/no tumors with a validation accuray of 92% and a validation recall of 98%.
Data set and its description
| Data | Description |
|---|---|
| Image | the image object(jpg format) |
| Label | class options of each image (glioma, meningioma, no tumor, and pituitary.) |
Dependencies and packages
- numpy>=1.20.0,<1.21.0
- python = 3.10
- pandas = 2.2.2
- scikit-learn = 1.4.2
- pydantic = 2.7.0
- strictyaml = 1.7.3
- tensorflow = 2.16.1
- scikeras = 0.13.0
- tensorflow-datasets = 4.9.4
- pillow = 10.3.0
- pydantic-settings = 2.2.1
- fastapi = 0.110.3
- uvicorn = 0.29.0
- loguru = 0.7.2
- python-multipart = 0.0.9
Source code link
Source code link: Github link
Python index package: Pypi link
Release files for braintumor-model-package 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| braintumor_model_package-0.2.0.tar.gz | 80.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| braintumor_model_package-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 161.6 MB
Release files / braintumor_model_package-0.2.0.tar.gz
| Download URL | braintumor_model_package-0.2.0.tar.gz |
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| Size | 80.8 MB |
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Release files / braintumor_model_package-0.2.0-py3-none-any.whl
| Download URL | braintumor_model_package-0.2.0-py3-none-any.whl |
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| Size | 80.8 MB |
| Tags | Python 3 |
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