Magnetic resonance imaging has achieved an increasingly important role in the clinical
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …

In the elective field of adrenal imaging, artificial intelligence (AI) can be used for adrenal
lesion detection, characterization, hypersecreting syndrome management and patient follow …

Background Adrenal masses are common, but radiology reporting and recommendations for
management can be variable. Purpose To create a machine learning algorithm to segment …

Background The morphology of the adrenal tumor and the clinical statistics of the adrenal
tumor area are two crucial diagnostic and differential diagnostic features, indicating precise …

Algorithms in the area of artificial intelligence (AI) show promising performance in many
fields, and radiology is no exception. In recent years, AI algorithms have begun to be …

Adrenal lesions refer to abnormalities or growths that occur in the adrenal glands, which are
located on top of each kidney. These lesions can be benign or malignant and can affect the …

Adrenal tumors occur on adrenal glands and are generally detected on abdominal area
scans. Adrenal tumors, which are incidentally detected, release vital hormones. These types …

Accurate classification of adrenal lesions on magnetic resonance (MR) images are very
important for diagnosis and treatment planning. The detection and classification of lesions in …

One of the most important steps in the clinical workflow is the segmentation of medical
imaging, which can be used for a variety of clinical decision-making tasks such as disease …

Bu doktora tezi, farklı görüntüleme yöntemlerinden elde edilen tıbbi görüntülerin otomatik
sınıflandırılması ve segmentasyonu için Bilgisayar Destekli Tanı (BDT) sistemlerinin …