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Deep learning for biomedical image analysis

Project Information

AI, big-data, deep-learning, gpus, machine-learning, matlab, python, tensorflow
Project Status: Finishing Up
Project Region: CAREERS
Submitted By: Binlin Wu
Project Email: wub1@southernct.edu
Project Institution: Southern Connecticut State University
Anchor Institution: CR-Yale
Project Address: 501 Crescent Street, ASB/SCI 045
New Haven, Connecticut. 06515

Mentors: Neil McGlohon, Jason Smith
Students: Andrew Cheng

Project Description

In this project, we will attempt to use convolutional neural networks (CNNs) deep learning methods to analyze and classify fluorescence images collected from two different types of kidney tumor tissue slides.

Project Information

AI, big-data, deep-learning, gpus, machine-learning, matlab, python, tensorflow
Project Status: Finishing Up
Project Region: CAREERS
Submitted By: Binlin Wu
Project Email: wub1@southernct.edu
Project Institution: Southern Connecticut State University
Anchor Institution: CR-Yale
Project Address: 501 Crescent Street, ASB/SCI 045
New Haven, Connecticut. 06515

Mentors: Neil McGlohon, Jason Smith
Students: Andrew Cheng

Project Description

In this project, we will attempt to use convolutional neural networks (CNNs) deep learning methods to analyze and classify fluorescence images collected from two different types of kidney tumor tissue slides.