A5003484166- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
- Advanced Neural Network Applications
- Artificial Intelligence in Healthcare
- Retinal and Optic Conditions
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Industrial Vision Systems and Defect Detection
- Medical Imaging and Analysis
- Retinal Diseases and Treatments
- Dental Radiography and Imaging
- Robotics and Sensor-Based Localization
Xi’an University of Posts and Telecommunications
2023-2024
Diabetic retinopathy (DR) is a kind of ocular complication diabetes, and its degree grade an essential basis for early diagnosis patients. Manual long expensive process with specific risk misdiagnosis. Computer-aided can provide more accurate practical treatment recommendations. In this paper, we propose multi-view joint learning DR diagnostic model called RT2Net, which integrates the global features fundus images local detailed vascular to reduce limitations single image learning. Firstly,...
Abstract Lung segmentation is an essential step in a computer‐aided diagnosis system for chest radiographs. The lung parenchyma first segmented pulmonary systems to remove the interference of non‐lung regions while increasing effectiveness subsequent work. Nevertheless, most medical image methods nowadays use U‐Net and its variants. These variant networks perform poorly detect smaller structures cannot accurately segment boundary regions. A multi‐interaction feature fusion network model...