Multivariate Gaussian Bayes classifier with limited data for segmentation of clean and contaminated regions in the small bowel capsule endoscopy images.
A considerable amount of undesirable factors in the wireless capsule endoscopy (WCE) procedure hinder the proper visualization of the small bowel and take gastroenterologists more time to review. Objective quantitative assessment of different bowel preparation paradigms and saving the physician revi...
Saved in:
| Main Authors: | Vahid Sadeghi, Alireza Mehridehnavi, Maryam Behdad, Alireza Vard, Mina Omrani, Mohsen Sharifi, Yasaman Sanahmadi, Niloufar Teyfouri |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0315638 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Singular Value Decomposition Based Features for Automatic Tumor Detection in Wireless Capsule Endoscopy Images
by: Vahid Faghih Dinevari, et al.
Published: (2016-01-01) -
Novel Imaging Enhancements in Capsule Endoscopy
by: Mostafa Ibrahim, et al.
Published: (2013-01-01) -
Bifurcated Lumen Observed on Capsule Endoscopy
by: Byeong Yun Ahn, et al.
Published: (2023-09-01) -
Capsule Endoscopy: A Single Centre Experience with the First 226 Capsules
by: R Enns, et al.
Published: (2004-01-01) -
Capsule Retentions and Incomplete Capsule Endoscopy Examinations: An Analysis of 2300 Examinations
by: Charlotte M. Höög, et al.
Published: (2012-01-01)