ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3244789
Abstract: Colorectal cancer occurs in the rectal of humans, and early detection has been proved to reduce its mortality rate. Colonoscopy is the standard used in detecting the presence of polyps in the rectal, and accurate… read more here.
Keywords: context feature; segmentation; kernel sizes; model ... See more keywords
Double-Branch Local Context Feature Extraction Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3185297
Abstract: In recent years, deep learning methods have made great progress in hyperspectral image (HSI) classification. However, the current models obtain deep-seated global feature by deepening the number of network layers and ignore the local neighborhood… read more here.
Keywords: classification; information; context feature; local context ... See more keywords