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Computer aided Diagnosis of Prostate Cancer using Multimodal Diagnostic Data

Principal Investigator
Name
Santosh Pattar
Institution
KLE Technological University
Position Title
Professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCOI-1359
Initial CDAS Request Approval
Oct 24, 2023
Title
Computer aided Diagnosis of Prostate Cancer using Multimodal Diagnostic Data
Summary
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.
Aims

- 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.

Collaborators

Santosh Pattar, Chandsab, Radika, and Rashmi