A5025160781- Gastric Cancer Management and Outcomes
- Colorectal Cancer Screening and Detection
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Esophageal Cancer Research and Treatment
- Pancreatic and Hepatic Oncology Research
- COVID-19 diagnosis using AI
- Gastroesophageal reflux and treatments
- Pneumonia and Respiratory Infections
- Gastrointestinal Bleeding Diagnosis and Treatment
- Anomaly Detection Techniques and Applications
University of Macau
2021-2025
Colorectal polyps are potential precursor lesions of colorectal cancer. Accurate classification during endoscopy is crucial for early diagnosis and effective treatment. Automatic accurate based on convolutional neural networks (CNNs) vital assisting endoscopists in However, this task remains challenging due to difficulties the data acquisition annotation processes, poor interpretability output, lack widespread acceptance CNN models by clinicians. This study proposes an innovative approach...
Gastroesophageal reflux disease (GERD) has been a ubiquitous health problem for centuries. Its symptoms are hard to distinguish and endoscopists with less experience usually find it difficult diagnose the severity of GERD, this might progress more severe diseases like Barrett's esophagus without adequate treatment. Therefore, we proposed multi-class classification system, which comprised deep learning (DL) model graphical user interface (GUI), classify GERD grading from endoscopic images so...