DCS-UNet: Dual-Path Framework for Segmentation of Reflux Esophagitis Lesions from Endoscopic Images with U-Net-Based Segmentation and Color/Texture Analysis

DCS-UNet: Dual-Path Framework for Segmentation of Reflux Esophagitis Lesions from Endoscopic Images with U-Net-Based Segmentation and Color/Texture Analysis

Automatic analysis of medical images and endoscopic images, in particular, is an attractive research topic in recent years. To achieve this goal, many tasks must be conducted for example lesion detection, segmentation, and classification. However, existing methods for such problems still face challe...

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Bibliographic Details
Main Authors: Thanh-Hai Tran, Danh Huy Vu, Duc Huy Tran, Khanh Linh Do, Phuong Thao Nguyen, Van Tuan Nguyen, Long Thuy Nguyen, Nguyen Khang Ho, Hai Vu, Viet Hang Dao
Format: Article
Language:English
Published: World Scientific Publishing 2023-05-01
Series:Vietnam Journal of Computer Science
Subjects:
Lesion detection
endoscopic image
feature extraction
image segmentation
U-Net
machine learning
Online Access:https://www.worldscientific.com/doi/10.1142/S2196888822500385

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https://www.worldscientific.com/doi/10.1142/S2196888822500385

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