Cargando…
An Automatic Gastrointestinal Polyp Detection System in Video Endoscopy Using Fusion of Color Wavelet and Convolutional Neural Network Features
Gastrointestinal polyps are considered to be the precursors of cancer development in most of the cases. Therefore, early detection and removal of polyps can reduce the possibility of cancer. Video endoscopy is the most used diagnostic modality for gastrointestinal polyps. But, because it is an opera...
Autores principales: | Billah, Mustain, Waheed, Sajjad, Rahman, Mohammad Motiur |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574296/ https://www.ncbi.nlm.nih.gov/pubmed/28894460 http://dx.doi.org/10.1155/2017/9545920 |
Ejemplares similares
-
Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network
por: Wang, Tao, et al.
Publicado: (2021) -
CHOBS: Color Histogram of Block Statistics for Automatic Bleeding Detection in Wireless Capsule Endoscopy Video
Publicado: (2018) -
Automatic Diagnosis of Attention Deficit Hyperactivity Disorder with Continuous Wavelet Transform and Convolutional Neural Network
por: Altun, Sinan, et al.
Publicado: (2022) -
Automatic Colorectal Polyp Detection in Colonoscopy Video Frames
por: K, Geetha, et al.
Publicado: (2016) -
Automatic detection of early gastric cancer in endoscopy based on Mask region-based convolutional neural networks (Mask R-CNN)(with video)
por: Jin, Jing, et al.
Publicado: (2022)