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
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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...

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