A5103147441- Image Processing Techniques and Applications
- AI in cancer detection
- Digital Imaging for Blood Diseases
- Bladder and Urothelial Cancer Treatments
- Colorectal Cancer Screening and Detection
- Colorectal Cancer Surgical Treatments
- Radiomics and Machine Learning in Medical Imaging
Spitalul Clinic Colentina
2022-2024
Mycobacteria identification is crucial to diagnose tuberculosis. Since the bacillus very small, finding it in Ziehl-Neelsen (ZN)-stained slides a long task requiring significant pathologist's effort. We developed an automated (AI-based) method of mycobacteria. prepared training dataset over 260,000 positive and 700,000,000 negative patches annotated on scans 510 whole slide images (WSI) ZN-stained (110 400 negative). Several image augmentation techniques coupled with different custom...
The presence of lymphovascular invasion (LVI) in urothelial carcinoma (UC) is a poor prognostic finding. This difficult to identify on routine hematoxylin–eosin (H&E)-stained slides, but considering the costs and time required for examination, immunohistochemical stains endothelium are not recommended diagnostic protocol. We developed an AI-based automated method LVI identification H&E-stained slides. selected two separate groups UC patients with transurethral resection specimens....
Tuberculosis is the primary cause of death due to infection in world. Identification