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  • Created 08 Sep 2021
Learn how to develop deep-learning models for tumor/cancer site classification
(e.g., Thyroid carcinoma, Lung adenocarcinoma)!

Overview: This two-part workshop will demonstrate how deep learning can be used to classify different types of cancer. Part I will focus on data preparation, starting with genomic data. Part II will demonstrate how to create a deep learning model, with hands-on instruction on how to use the processed data to build a convolutional neural network (CNN) model that can classify different cancer types. You can see preliminary workshop materials—Jupyter notebooks and documentation—on Github, at https://github.com/ravichas/ML-TC1.

Please join us!

Date:               Tuesday, September 22, 2020
Time:               1:00 – 3:00 p.m.
Location:         WebEx  
Registration:  Not required

Presenter: Sarangan Ravichandran, PhD, PMP, Data Scientist, Frederick National Laboratory for Cancer Research (FNL) and Adjunct Professor in Bioinformatics, Hood College

Questions? Contact the NCI Data Science Learning Exchange

Created by Clint Malone Last Modified Tue October 26, 2021 10:03 pm by Clint Malone