Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6920436 | Computers in Biology and Medicine | 2018 | 11 Pages |
Abstract
In the presented experiments, various structures, such as villi, villous mesenchyme, trophoblast, collagen, and vessels have been recognized. Moreover, the gradation of villous edema for three classes (no villous edema, moderate villous edema, and massive villous edema) has been conducted. Villi images were correctly identified in 98.21%, villous mesenchyme was correctly identified in 83.95%, and the villi evaluation was correct in 74% for the edema degree and 86% for the number of vessels. The presented segmentation method may serve as a support for current manual diagnosis methods and reduce the bias related to individual, subjective assessment of experts.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Robert Koktysz, Szczepan Cierniak,