A brain tumor model package
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for braintumor_model_package-0.1.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 54bbb2ddcf4c7ba21547823eafb300c4395fc3277bd26af28771481058953cf1 |
|
MD5 | 1377d37b81c9d583de38f10ff5975285 |
|
BLAKE2b-256 | fe82d14e5bde83a760e4af21d463232e2c6469e38611f066cf7e4774e1e8de69 |
Close
Hashes for braintumor_model_package-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c60e15a5118360d176357f0d9eb09210b518f683251d1715ba7b1ed651ca7cb1 |
|
MD5 | 035bfb53e9d638b11ebf5fb4257e5368 |
|
BLAKE2b-256 | c1ef064fc82c119a6bd0e4efaa4597f602e42543dd59bc9a752148519d3fb691 |