Publications by authors named "Shenzhou Cai"
Article Synopsis
- A deep learning model was developed to analyze ultrasound images for accurately distinguishing between benign and malignant parotid tumors, aiming to assist clinicians in diagnosis.
- The study involved 2,211 ultrasound images from 980 confirmed cases, and the Resnet18 model outperformed others with high AUC scores (0.947 for internal tests and 0.925 for external tests) as well as strong accuracy, sensitivity, and specificity.
- Radiologists' diagnostic performance improved when assisted by the model, with both junior and senior radiologists showing increased AUC values, indicating the model's potential to enhance clinical decision-making.
An improved faster R-CNN algorithm for assisted detection of lung nodules.
Comput Biol Med
February 2023
The morbidity and mortality of lung cancer are increasing rapidly in every country in the world, and pulmonary nodules are the main symptoms of lung cancer in the early stage. If we can diagnose pulmonary nodules in time at the early stage and follow up and treat suspicious patients, we can effectively reduce the incidence of lung cancer. CT (Computed Tomography) has been applied to the screening of many diseases because of its high resolution.
View Article and Find Full Text PDF