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Use machine learning and deep learning combined with multiparameter to avoid unnecessary biopsy

Principal Investigator

Name
Andrew Cao

Degrees
Ph.D

Institution
Independent

Position Title
Student

Email
andrew.cao@canberra.edu.au

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-746

Initial CDAS Request Approval
Mar 16, 2021

Title
Use machine learning and deep learning combined with multiparameter to avoid unnecessary biopsy

Summary
I need to use some public data to help me understand the field of my research. I apply for this data for personal testing and learning. This data will not be used for publishing articles or showing to other people and organizations. This data will only be used in my daily study. If I need to use this data for article publication in the future, I will start a new project.

Aims

At this stage I need to use some real data to find ways to avoid biopsy. Because there is very little real and open data about these on the Internet. And I need such data to help me learn. These data can better allow me to operate and experiment. The main purpose of this data is to better help me understand my future research.

Collaborators

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