Content-Based Microscopic Image Analysis by Chen Li

Content-Based Microscopic Image Analysis

Studien Zur Mustererkennung

Chen Li

196 pages missing pub info (editions)

nonfiction computer science science technology informative medium-paced
Powered by AI (Beta)
Loading...

Description

In this dissertation, novel Content-based Microscopic Image Analysis (CBMIA) methods, including Weakly Supervised Learning (WSL), are proposed to aid biological studies. In a CBMIA task, noisy image, image rotation, and object recognition problems...

Read more

Community reviews

This book doesn't have any reviews or ratings yet!

If you've read it, mark it as 'read' and add a review to help others in the StoryGraph community figure out if it might be a book for them!

Content Warnings

This book doesn't have any content warnings yet!

If you're the author of this book and want to add author-approved content warnings, please email us at support@thestorygraph.com to request the content warning form.

Accept and close

By using The StoryGraph, you agree to our use of cookies.
We use a small number of cookies to provide you with a great experience.

Find out more