Implementation of CNN models (VGG16, EfficientNetB0, MNASNet) for detecting brain tumors in MRI images.
Project description
COV Brain Tumor Detection
This project aims to detect brain tumors using machine learning techniques. The code specifically trains and evaluates CNN models (VGG16, EfficientNetB0, MNASNet) on MRI images and compares their effectiveness.
Installation
To install the package from PyPI, use:
pip install cov_brain_tumor_detection
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cov_brain_tumor_detection-1.1.0.tar.gz.
File metadata
- Download URL: cov_brain_tumor_detection-1.1.0.tar.gz
- Upload date:
- Size: 18.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.9.0 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e2752787aca5b78320f7ddb968c187daa1b817131e8d89eede6066c58e4fa70a
|
|
| MD5 |
edf5c297f613b28c8a3bd51281a71a65
|
|
| BLAKE2b-256 |
b23a7833f3155fee932f093d0322c67d9db2d1ca95aa60894883c8152573a67e
|
File details
Details for the file cov_brain_tumor_detection-1.1.0-py3-none-any.whl.
File metadata
- Download URL: cov_brain_tumor_detection-1.1.0-py3-none-any.whl
- Upload date:
- Size: 14.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.9.0 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e34514998761374ae9612b476e736cd44f1845fe5626f18713e4f4262373ef7a
|
|
| MD5 |
411453410c76e42281b793bf6fe46a84
|
|
| BLAKE2b-256 |
000c117c4d92ecd53d7c613f199e62d1dbe75088ecdedaf5fd2407bc763d56fc
|
