2 papers
eess.IV2023
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images
Ju-Hyeon Nam, Seo-Hyeong Park, Nur Suriza Syazwany +3
Polyp segmentation is crucial for preventing colorectal cancer a common type of cancer. Deep learning has been used to segment polyps automatically, which reduces the risk of misdi…
cs.CV2023
Local Feature Extraction from Salient Regions by Feature Map Transformation
Yerim Jung, Nur Suriza Syazwany Binti Ahmad Nizam, Sang-Chul Lee
Local feature matching is essential for many applications, such as localization and 3D reconstruction. However, it is challenging to match feature points accurately in various came…