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LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!

License: Mozilla Public License 2.0

Dockerfile 1.15% Python 65.54% CSS 7.65% Jinja 12.31% Shell 0.65% JavaScript 12.69%
ai cancer-detection healthcare deep-learning machine-learning neural-network python tensorflow cancer dermatology

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lesnet's Issues

ERROR is occuring

Discussed in #37

Originally posted by hrdagr April 21, 2024
Scre2enshot 2024-04-21 224724

the project is going to an error even in the live demo page

raise TypeError(
TypeError: Unexpected keyword: reason='You cannot set the body to a text value without a charset'

Reported by @hrdagr

Training the model with custom data

I have a question regarding machine learning. I am wondering if it is possible to train a system using custom data to accurately detect and classify skin problems such as rashes and acne. I am specifically interested in identifying the type of rashes and acne. I would appreciate any insights or guidance on how to approach this. Thank you!

ModuleNotFoundError: No module named 'albumentations'

Describe the bug
Following the Running the Application without Docker steps, while trying to run the application, I'm presented with the error
ModuleNotFoundError: No module named 'albumentations'

To Reproduce
Steps to reproduce the behavior:

  1. Follow the Running the Application without Docker steps
  2. By the end, run env/bin/pserve development.ini

Expected behavior
Application should run

Desktop (please complete the following information):

  • OS: MacOS 13.3.1 (22E261)
  • Python: 3.11.3
  • Arch: Arm64

Live Demo Memory Issues

Currently the live Demo runs out of memory when trying to run the latest model (M3.1).

This model will work locally on most devices, the model is too large currently for the live Demo which only has 500mb of memory.
Screenshot_20240604_110701_Gmail.jpg

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