Attention augmented residual autoencoder for efficient polyp segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22814
Abstract: Colon cancer has been reported to be one of the frequently diagnosed cancers and the leading cause of cancer deaths. Early detection and removal of malicious polyps, which are precursors of colon cancer, can enormously… read more here.
Keywords: polyp segmentation; segmentation; autoencoder; attention augmented ... See more keywords
Contour-Aware Polyp Segmentation in Colonoscopy Images Using Detailed Upsamling Encoder-Decoder Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2995630
Abstract: Colorectal cancer has become one of the most common cause of cancer mortality worldwide, with a five-year survival rate of over 50%. Additionally, the potential of some common polyp types to progress to colorectal cancer… read more here.
Keywords: polyp; polyp segmentation; encoder decoder; colonoscopy ... See more keywords
BlazeNeo: Blazing Fast Polyp Segmentation and Neoplasm Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3168693
Abstract: In recent years, computer-aided automatic polyp segmentation and neoplasm detection have been an emerging topic in medical image analysis, providing valuable support to colonoscopy procedures. Attentions have been paid to improving the accuracy of polyp… read more here.
Keywords: blazeneo blazing; neoplasm detection; polyp segmentation; detection ... See more keywords
Polyp Segmentation of Colonoscopy Images by Exploring the Uncertain Areas
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175858
Abstract: Colorectal cancer is one of the leading causes of death worldwide. Polyps are early symptoms of colorectal cancer and prone to malignant transformation. Polyp segmentation of colonoscopy images can help diagnosis. However, existing studies on… read more here.
Keywords: colonoscopy images; polyp segmentation; uncertain areas; segmentation ... See more keywords
Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3077271
Abstract: Accurate segmentation of the polyps from colonoscopy images provides useful information for the diagnosis and treatment of colorectal cancer. Despite deep learning methods advance automatic polyp segmentation, their performance often degrades when applied to new… read more here.
Keywords: polyp segmentation; segmentation; mutual prototype; domain ... See more keywords
Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3173948
Abstract: Clinically, proper polyp localization in endoscopy images plays a vital role in the follow-up treatment (e.g., surgical planning). Deep convolutional neural networks (CNNs) provide a favoured prospect for automatic polyp segmentation and evade the limitations… read more here.
Keywords: information; feature; polyp segmentation; cross layer ... See more keywords
FEGNet: A Feedback Enhancement Gate Network for Automatic Polyp Segmentation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3272168
Abstract: Regular colonoscopy is an effective way to prevent colorectal cancer by detecting colorectal polyps. Automatic polyp segmentation significantly aids clinicians in precisely locating polyp areas for further diagnosis. However, polyp segmentation is a challenge problem,… read more here.
Keywords: automatic polyp; polyp segmentation; segmentation; gate ... See more keywords
An Efficient Multi-Task Synergetic Network for Polyp Segmentation and Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3273728
Abstract: Colonoscopy is considered the best diagnostic tool for early detection and resection of polyps, which can effectively prevent consequential colorectal cancer. In clinical practice, segmenting and classifying polyps from colonoscopic images have a great significance… read more here.
Keywords: emts net; polyp segmentation; segmentation classification; segmentation ... See more keywords
PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3162873
Abstract: Automatic polyp segmentation from colonoscopy videos is a prerequisite for the development of a computer-assisted colon cancer examination and diagnosis system. However, it remains a very challenging task owing to the large variation of polyps,… read more here.
Keywords: time; network; polyp segmentation; segmentation ... See more keywords
Attention-Guided Pyramid Context Network for Polyp Segmentation in Colonoscopy Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3244219
Abstract: Recently, deep convolutional neural networks (CNNs) have provided us an effective tool for automated polyp segmentation in colonoscopy images. However, most CNN-based methods do not fully consider the feature interaction among different layers and often… read more here.
Keywords: colonoscopy images; attention guided; polyp segmentation; segmentation ... See more keywords
FRCNet: Feature Refining and Context-Guided Network for Efficient Polyp Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2022.799541
Abstract: Colorectal cancer, also known as rectal cancer, is one of the most common forms of cancer, and it can be completely cured with early diagnosis. The most effective and objective method of screening and diagnosis… read more here.
Keywords: feature refining; refining context; polyp segmentation; context guided ... See more keywords