A5053869920- AI in cancer detection
- Thyroid Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- COVID-19 diagnosis using AI
- Trauma Management and Diagnosis
- Autopsy Techniques and Outcomes
- Digital Imaging for Blood Diseases
Tianjin University
2022
Thyroid nodule is one of the most common endocrine diseases in adult population. Early screening and diagnosis thyroid nodules great significance to patients’ subsequent treatment. An objective accurate algorithm for vital improve efficiency clinical reduce work pressure doctors. In this paper, we propose a fused deep learning model benign malignant nodules. Based on ACR TI-RADS proposed by American Academy Radiology, first extracts 33 clinically significant statistical features composition,...
The classification of white blood cells (WBCs) from microscopic image provides invaluable information for diagnosis various diseases. Deep Convolutional Neural Networks are often used to classify WBCs automatically and have obtained certain achievements. However, when the training (source) dataset test (target) fall different data distributions (i.e. domain shift), deep convolution neural networks adapt poorly. To solve problem, we proposed a DANN-based method aiming help our classifier...
The detection of rib fractures is great significance for the diagnosis and treatment patients with blunt chest trauma. while application low-dose CT has become a trend. But there are few studies focusing on automatic fracture under CT. In this paper, deep-learning model was proposed based Mask R-CNN its performance evaluated by public dataset RibFrac containing 480 images 3D annotations. addition, another including 100 cases were collected from Tianjin Hospital extensibility...