A5075186033- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Computational Physics and Python Applications
- Anatomy and Medical Technology
- Machine Learning in Healthcare
- Mosquito-borne diseases and control
- Digital Imaging for Blood Diseases
- Augmented Reality Applications
- Surgical Simulation and Training
- COVID-19 Clinical Research Studies
- Anomaly Detection Techniques and Applications
University of Turin
2022-2024
Abstract Malaria is an endemic in various tropical countries. The gold standard for disease detection to examine the blood smears of patients by expert medical professional detect malaria parasite called Plasmodium . In rural areas underdeveloped countries, with limited infrastructure, a scarcity healthcare professionals, absence sufficient computing devices, and lack widespread internet access, this task becomes more challenging. A severe case can be fatal within one week, so correct its...
Laparoscopic education and surgery assessments increase the success rates lower risks during actual surgeries. Hospital residents need a secure setting, trainees require safe controlled environment with cost-effective resources where they may hone their laparoscopic abilities. Thus, we have modeled developed surgical simulator to provide initial training in Partial Nephrectomy (LPN—a procedure treat kidney cancer or renal masses). To achieve this, created virtual using an open-source game...
COVID-19 analysis from medical imaging is an important task that has been intensively studied in the last years due to spread of pandemic. In fact, often used as a complementary or main tool recognize infected persons. On other hand, ability provide more details about infection, including its severity and spread, which makes it possible evaluate infection follow-up patient’s state. CT scans are most informative for where evaluation usually performed through segmentation. However,...
The accurate and consistent border segmentation plays an important role in the tumor volume estimation its treatment field of Medical Image Segmentation. Globally, Lung cancer is one leading causes death early detection lung nodules essential for diagnosis survival rate patients. goal this study was to demonstrate feasibility Deephealth toolkit including PyECVL PyEDDL libraries precisely segment nodules. Experiments has been carried out on UniToChest using PyEDDL, data pre-processing as well...