Cargando…
A Novel Computer-Aided Detection/Diagnosis System for Detection and Classification of Polyps in Colonoscopy
Using a deep learning algorithm in the development of a computer-aided system for colon polyp detection is effective in reducing the miss rate. This study aimed to develop a system for colon polyp detection and classification. We used a data augmentation technique and conditional GAN to generate pol...
Autores principales: | Tang, Chia-Pei, Chang, Hong-Yi, Wang, Wei-Chun, Hu, Wei-Xuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857872/ https://www.ncbi.nlm.nih.gov/pubmed/36672980 http://dx.doi.org/10.3390/diagnostics13020170 |
Ejemplares similares
-
Computer-Aided Colon Polyp Detection on High Resolution Colonoscopy Using Transfer Learning Techniques
por: Tang, Chia-Pei, et al.
Publicado: (2021) -
Computer-Aided Detection False Positives in Colonoscopy
por: Hsieh, Yu-Hsi, et al.
Publicado: (2021) -
Polyp detection with computer-aided diagnosis in white light colonoscopy: comparison of three different methods
por: Figueiredo, Pedro N., et al.
Publicado: (2019) -
Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations
por: Li, Kaidong, et al.
Publicado: (2021) -
The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study
por: Lui, Ka Luen Thomas, et al.
Publicado: (2023)