Lung nodule can cause lung cancer and so researchers do their best to detect those
nodules in their early stages. Machine learning algorithms are used to detect lung nodules …

Background: Parathyroid proliferative disorder encompasses a wide spectrum of diseases,
including parathyroid adenoma (PTA), parathyroid hyperplasia, and parathyroid carcinoma …

Objective The exploration and the implementation of a deep learning method using a state-
of-the-art convolutional neural network for the classification of polar maps represent …

Greece is among the European Union members topping the list of deaths related to coronary
artery disease. Myocardial Perfusion Imaging (MPI) with Single-Photon Emission Computed …

A deep diffractive neural network (D2NN) is a fast optical computing structure that has been
widely used in image classification, logical operations, and other fields. Computed …

The presence of lung metastases in patients with primary malignancies is an important
criterion for treatment management and prognostication. Computed tomography (CT) of the …

Lung cancer represents a significant global health challenge, transcending demographic
boundaries of age, gender, and ethnicity. Timely detection stands as a pivotal factor for …

Accurately determining whether nodules on CT images of the lung are benign or malignant
plays an important role in the early diagnosis and treatment of tumors. In this study, the …

The volumetric representation of Solitary Pulmonary Nodules (SPN) in Computed
Tomography (CT) imaging is mandatory, especially for capturing and analysing deep …

The study investigates the efficiency of integrating Machine Learning (ML) in clinical practice
for diagnosing solitary pulmonary nodules'(SPN) malignancy. Patient data had been …