A5032672410- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- AI in cancer detection
- Dental Radiography and Imaging
- Colorectal Cancer Screening and Detection
- Radiomics and Machine Learning in Medical Imaging
- Face Recognition and Perception
- Visual Attention and Saliency Detection
Guangdong University of Technology
2023
Abstract Colonoscopy is one of the most direct and effective methods for detecting colon polyps; they are crucial early screening prevention colorectal cancer (CRC). Accurate segmentation polyp images significant clinical management treatment CRC. However, image a challenging task because polyps vary in size, shape, color, have low contrast with surrounding tissue mucosa. To address these challenges, we propose novel network called BGNet segmentation. consists three modules: boundary feature...
Salient object detection (SOD) is to segment significant regions of images. Noticing that the saliency maps in existing SOD methods suffer from blurring boundaries owing insufficient extraction boundary features and inadequate fusion between salient region features, a dual-branch network information mutual optimization (DIMONet) proposed. The DIMONet has branch extract corresponding simultaneously mainly composed two components. One module (MOM) refines based on their internal relationship....