Cervical Cancer Detection using Conv Nets

AI Diagnostics would help millions of women, particularly in developing nations without pathologists. We explore the challenges involved in creating an optimal AI Diagnostic tool using convolutional neural networks to solve this problem. What exactly goes into priming the hyperparameters? How do we augment the data and what is the best way to continue training our AI so that it continues rising in accuracy?
Presenters

Daniel Luci

Lead A.I. Engineer (Alexapath LLC)
Selection Status:

Selected

Scheduled For
Slides