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GitHub / dsc-dtu / Cancer-Treatment

It predicts the type of treatment and highest possible outcome upon being given the vital description about the tumour detected. Artificial Neural Networks are being put to work which feeds on a large data set of past cancer treatments which contains vital information about the size,location and type of tumour and thus is accordingly trained through various ML optimisation techniques. This project was done on behalf of a PHD scholar from U.C Berkeley and the required data set was provided by him. Raw data provided was thoroughly processed through various techniques, the code of which is self explanatory. Programming Language : Python Libraries Used : TensorFlow

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dsc-dtu%2FCancer-Treatment
PURL: pkg:github/dsc-dtu/Cancer-Treatment

Fork of zenith1598/Cancer-Treatment
Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 0 Bytes
Dependencies parsed at: Pending

Created at: over 6 years ago
Updated at: over 6 years ago
Pushed at: over 6 years ago
Last synced at: over 2 years ago

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