A5103119747- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hemoglobinopathies and Related Disorders
- Congenital limb and hand anomalies
- Neurology and Historical Studies
- Dermatological and Skeletal Disorders
- Connective tissue disorders research
- Bone health and treatments
- Cancer, Hypoxia, and Metabolism
- Adrenal and Paraganglionic Tumors
- Topic Modeling
- Craniofacial Disorders and Treatments
- Natural Language Processing Techniques
- Radiomics and Machine Learning in Medical Imaging
- Erythrocyte Function and Pathophysiology
- Cleft Lip and Palate Research
- Multimodal Machine Learning Applications
University of Ferrara
2023
Medical Research Scotland
2023
Canon (United Kingdom)
2023
University of Glasgow
2023
Università Cattolica del Sacro Cuore
1995
Abstract Objectives In this study, we developed a radiomic signature for the classification of benign lipid-poor adenomas, which may potentially help clinicians limit number unnecessary investigations in clinical practice. Indeterminate adrenal lesions and malignant nature exhibit different values key radiomics features. Methods Patients who had available histopathology reports non-contrast-enhanced CT scan were included study. Radiomics feature extraction was done after contoured. The...
Radiology reports are detailed text descriptions of the content medical scans. Each report describes presence/absence and location relevant clinical findings, commonly including comparison with prior exams same patient to describe how they evolved. reporting is a time-consuming process, scan results often subject delays. One strategy speed up integrate automated systems, however deployment requires high accuracy interpretability. Previous approaches radiology generally do not provide study...