About
Contact & Profiles
A5045581473
Research Areas
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- COVID-19 diagnosis using AI
- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare
- Geographic Information Systems Studies
- Lung Cancer Diagnosis and Treatment
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Machine Learning in Healthcare
University of Copenhagen
2024
University of Calabria
2020-2022
Abstract Lesion segmentation in medical images is difficult yet crucial for proper diagnosis and treatment. Identifying lesions costly time-consuming requires highly specialized knowledge. For this reason, supervised semi-supervised learning techniques have been developed. Nevertheless, the lack of annotated data, which common imaging, an issue; context, interesting approaches can use unsupervised to accurately distinguish between healthy tissues lesions, training network without using...
10.1007/s11517-022-02651-8
article
EN
cc-by
Medical & Biological Engineering & Computing
2022-09-20
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