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
Polyp segmentation in medical imaging: challenges, approaches and future directions
Sign Up to like & getrecommendations! Published in 2025 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-025-11173-2
Abstract: Colorectal cancer has been considered as the third most dangerous disease among the most common cancer types. The early diagnosis of the polyps weakens the spread of colorectal cancer and is significant for more productive… read more here.
Keywords: colorectal cancer; segmentation medical; segmentation; polyp segmentation ... See more keywords
A lighter hybrid feature fusion framework for polyp segmentation
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-72763-8
Abstract: Colonoscopy is widely recognized as the most effective method for the detection of colon polyps, which is crucial for early screening of colorectal cancer. Polyp identification and segmentation in colonoscopy images require specialized medical knowledge… read more here.
Keywords: segmentation; polyp; polyp segmentation; feature fusion ... See more keywords
Cascade Aggregation Network for Accurate Polyp Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IET Systems Biology"
DOI: 10.1049/syb2.70036
Abstract: ABSTRACT Accurate polyp segmentation is crucial for computer‐aided diagnosis and early detection of colorectal cancer. Whereas feature pyramid network (FPN) and its variants are widely used in polyp segmentation, inherent limitations existing in FPN include:… read more here.
Keywords: segmentation; level; polyp segmentation; accurate polyp ... 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
Cross-Level Context Fusion Network for Polyp Segmentation in Colonoscopy Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3370412
Abstract: Medical image analysis, particularly polyp segmentation, plays a pivotal role in the early detection and prevention of colorectal cancer. The accuracy and precision of polyp identification significantly influence the subsequent diagnostic conclusions and therapeutic strategies.… read more here.
Keywords: colonoscopy images; cross level; segmentation; level ... See more keywords
Can Programmable Gradient Information Enhance Polyp Segmentation?
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3496999
Abstract: Colorectal cancer ranks as the third leading cause of cancer-related deaths globally, with early detection and removal of polyps crucial in reducing mortality. Despite colonoscopy being an effective diagnostic tool, up to 28% of polyps… read more here.
Keywords: segmentation; programmable gradient; gradient information; polyp 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