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Initial CDAS Request Approval
Oct 24, 2023
Computer aided Diagnosis of Prostate Cancer using Multimodal Diagnostic Data
This project aims to construct a multimodal data model using the clinical and imaging diagnostic data. Through this multimodal model we aim to build a deep learning model that will aid in computer aided diagnosis of the disease. Our aim is to build a early diagnosis detection model. Further, we aim to predict the disease progression in individuals that will help in personalized treatment assessment and plan.
- To develop a multimodal diagnostic data model for prostate cancer.
- To design and implement a computer aided diagnostic system for prostate cancer using deep learning models.
- To achieve accurate and robust disease progression rate detection through regularization techniques.
- To construct and end-to-end diagnostic system for the prostate cancer.
Santosh Pattar, Chandsab, Radika, and Rashmi