Saudi Electronic University Breast Cancer Histology Image Dataset Template

Description

Breast cancer accounts for 25% of the total cancer cases around the world. It is caused be out of control growth of breast cells that constitute tumors and can be observed using X-ray imagery.

You are required to develop an AI system to classify these tumors into cancerous or non-cancerous categories.

Task 1: Review the literature on breast cancer classification and the use of deep learning in visual understanding.

Task 2: Build a deep leaning model using the given dataset, set up your experiment and evaluate your system. (Note: pre-process the data as necessary).

Task 3: Demonstrate your system with a single test image as input and show its output as cancerous or non-cancerous.

Project extension: [ bonus]

Optimize your system to outperform the state-of-the-art accuracy on breast cancer classification with an accuracy of over 95%.

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