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Skin Cancer Detection

Sri Anumakonda

Sri Anumakonda

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Used Convolutional Neural Networks + Deep Learning algorithms to create a learned agent that can perform binary classification of malignant vs benign skin cancer. ...learn more

Project status: Published/In Market

oneAPI, Artificial Intelligence

Intel Technologies
Intel Integrated Graphics

Code Samples [1]

Overview / Usage

Wanted to get my hands around understanding the technical specifics of Convolutional Neural Networks + transfer learning with keras which was exactly what this project was about.

Methodology / Approach

Ran a convolutional neural network through the model consisting of Convolutions, ReLUs, MaxPools, etc.

Output was through a softmax (could've also used sigmoid) function because we're focusing on a binary classification problem.

Loss was binary cross-entropy, trained for 10 epochs.

Also played around with transfer learning

Technologies Used

Python, Tensorflow, Matplotlib, os, tensorflow_hub, keras

Repository

https://github.com/srianumakonda/Skin-Cancer-Detection

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