Cargando…
Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach
The automatic segmentation of the pancreatic cyst lesion (PCL) is essential for the automated diagnosis of pancreatic cyst lesions on endoscopic ultrasonography (EUS) images. In this study, we proposed a deep-learning approach for PCL segmentation on EUS images. We employed the Attention U-Net model...
Autores principales: | Oh, Seok, Kim, Young-Jae, Park, Young-Taek, Kim, Kwang-Gi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749636/ https://www.ncbi.nlm.nih.gov/pubmed/35009788 http://dx.doi.org/10.3390/s22010245 |
Ejemplares similares
-
A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures
por: Seol, Yu Jin, et al.
Publicado: (2022) -
Automatically Diagnosing Skull Fractures Using an Object Detection Method and Deep Learning Algorithm in Plain Radiography Images
por: Jeong, Tae Seok, et al.
Publicado: (2023) -
Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images
por: Kim, Young Jae, et al.
Publicado: (2020) -
Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning
por: Kim, Young Jae, et al.
Publicado: (2022) -
Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning
por: Lee, Hyo Min, et al.
Publicado: (2022)