A survey on deep learning for polyp segmentation: Techniques, challenges and future trends
Early detection and assessment of polyps play a crucial role in the prevention and treatment
of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist …
of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist …
Polyp segmentation using a hybrid vision transformer and a hybrid loss function
E Goceri - Journal of Imaging Informatics in Medicine, 2024 - Springer
Accurate and early detection of precursor adenomatous polyps and their removal at the
early stage can significantly decrease the mortality rate and the occurrence of the disease …
early stage can significantly decrease the mortality rate and the occurrence of the disease …
A software defect prediction method based on learnable three-line hybrid feature fusion
Y Tang, Q Dai, Y Du, L Chen, X Niu - Expert Systems with Applications, 2024 - Elsevier
Software defect prediction (SDP) plays a crucial role in ensuring the security and quality of
software systems. However, it faces challenges posed by high-dimensional features present …
software systems. However, it faces challenges posed by high-dimensional features present …
Edge-aware Feature Aggregation Network for Polyp Segmentation
Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal
cancer (CRC) in clinical practice. However, due to scale variation and blurry polyp …
cancer (CRC) in clinical practice. However, due to scale variation and blurry polyp …
Dual ensemble system for polyp segmentation with submodels adaptive selection ensemble
C Xu, K Fan, W Mo, X Cao, K Jiao - Scientific Reports, 2024 - nature.com
Colonoscopy is one of the main methods to detect colon polyps, and its detection is widely
used to prevent and diagnose colon cancer. With the rapid development of computer vision …
used to prevent and diagnose colon cancer. With the rapid development of computer vision …