A5046784163- Radiomics and Machine Learning in Medical Imaging
- Surgical Simulation and Training
- Anatomy and Medical Technology
- Lung Cancer Diagnosis and Treatment
- COVID-19 diagnosis using AI
- Advanced Neural Network Applications
- Digital Radiography and Breast Imaging
- AI in cancer detection
Mentor
2021
Innopolis University
2017
In 2015 we began a sub-challenge at the EndoVis workshop MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models. However, limited background variation simple motion rendered dataset uninformative learning about which techniques would be suitable for segmentation real surgery. 2017, same Quebec introduced robotic 10 teams participating challenge to perform binary, articulating parts type da...
Pulmonary nodules detection play a significant role in the early and treatment of lung cancer. False positive reduction is one major parts pulmonary systems. In this study novel method aimed at recognizing real nodule among large group candidates was proposed. The consists three steps: appropriate receptive field selection, feature extraction strategy for high level fusion classification. dataset 888 patient's chest volume low dose computer tomography (LDCT) scans, selected from publicly...
Diagnostic efficiency of breast cancer screening remains one the most important issues in oncology and radiology. Artificial intelligence technologies are widely used clinical medicine to effectively solve a number technological diagnostic problems. The aim. To develop segmentation neural network model for plain radiographs analysis with subsequent study its effectiveness. Materials methods. artificial intelligence-based system was developed analyze X-ray mammography, аnd included U-Net...