Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Objective: Skin diseases constitute a widespread health concern, and the application of
machine learning and deep learning algorithms has been instrumental in improving …

Objectives Accuracy in the detection of recurrent nasopharyngeal carcinoma (NPC) on
follow-up magnetic resonance (MR) scans needs to be improved. Material and methods A …

We propose a dual-domain deep learning technique for accelerating compressed sensing
magnetic resonance image reconstruction. An advanced convolutional neural network with …

Over the last decades, the field of medicine has witnessed significant progress in artificial
intelligence (AI), the Internet of Medical Things (IoMT), and deep learning (DL) systems …

Abstract Background and Purpose Dynamic positron emission tomography/computed
tomography (PET/CT) served the potential role of characterizing malignant foci. The main …

The lesion area of cancer presents complex physiological structures, posing significant
challenges for accurate segmentation, which is required in radiotherapy or chemo …

The Internet of Things (IoT) has grown dramatically in recent years, it is due to its big impact
on people's daily life in critical applications like healthcare, smart homes, smart cities, and …