Skip to main content

Pacote destinado ao uso de conceitos de machine learning

Project description

Artificial Neural Network for brain tumor detection

License python Numpy Skimage Sklearn Matplotlib Pickle Random

Index

This is a project that aims to implement an artificial neural network for classification of brain tomography images.

🚧 Status 🚀 Under construction... 🚧

Infos

This project is a manual implementation of a neural network, based on the mutilayer perceptron model for classifying features of brain tomography images. The activation function implemented in this network was the sigmoid, the characteristics of the images are extracted through the Gray Level Co-Occurrence Matrix (GLCM).

The image dataset that was used is public and available at https://www.kaggle.com/datasets/preetviradiya/brian-tumor-dataset

Pré-requeriments

...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

keros-0.1.3.tar.gz (15.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

keros-0.1.3-py3-none-any.whl (16.3 kB view details)

Uploaded Python 3

File details

Details for the file keros-0.1.3.tar.gz.

File metadata

  • Download URL: keros-0.1.3.tar.gz
  • Upload date:
  • Size: 15.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for keros-0.1.3.tar.gz
Algorithm Hash digest
SHA256 a21d42db39a5c6a89f3e21d61a880ffbd48be0db0a1025aef55a72662946dc27
MD5 fbd76f1c82358615244241dbf09ff161
BLAKE2b-256 8c4a29f4285b4db0ba71a91d389f97966edffcceddabe3d2708bc5bf04667084

See more details on using hashes here.

File details

Details for the file keros-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: keros-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 16.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for keros-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3269f2fb241b80f6a28025b028efc06448abe9b2b954f6f8274e3a6d0ec2a503
MD5 5810359e0ad66a121fa4eed045592e18
BLAKE2b-256 44b1a0afe0dd9c8bd16612398f725b6988288af69053f56161aa78387a0c5693

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page