A5100754926- Hepatocellular Carcinoma Treatment and Prognosis
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Cholangiocarcinoma and Gallbladder Cancer Studies
Hebei University of Engineering
2009-2021
The study focused on how to improve the diagnostic coincidence rate of patients with gallbladder stones and cancer based an optimized Segnet network algorithm relationship multiple tumor suppressor 1 (P16). 300 diagnosed in hospital were selected as research subjects. pyramid pooling operation was incorporated into original algorithm, its performance evaluated, factoring intersection union (IoU), precision (Pre), recall (Recall). After 8 hours fasting, conventional ultrasound...
Breast cancer is the second leading cause of deaths among women and micro calcifications clusters are one most important indicators breast disease. A Computer-Aided Diagnosis algorithm has been developed to assist radiologists in diagnosis mammographic clusters. Classification performance was evaluated with algorithm, final result looks great.