Deep learning techniques, in particular generative models, have taken on great importance
in medical image analysis. This paper surveys fundamental deep learning concepts related …

Deep learning can be used for audio signal classification in a variety of ways. It can be used
to detect and classify various types of audio signals such as speech, music, and …

Over the preceding decade, there has been a discernible surge in the prominence of
artificial intelligence, marked by the development of various methodologies, among which …

The phenomenon of scientific burglary has seen a significant increase recently due to the
technological development in software. Therefore, many types of research have been …

Early diagnosis of multiple sclerosis (MS) through the delineation of lesions in the brain
magnetic resonance imaging is important in preventing the deteriorating condition of MS …

The mining of open pit mines is widespread in China, and there are many cases of landslide
accidents. Therefore, the problem of slope stability is highlighted. The stability of the slope is …

The rising global incidence of Multiple Sclerosis (MS), an autoimmune disorder that impacts
the central nervous system, demands novel diagnostic approaches for early detection and …

Deep learning (DL) techniques represent a rapidly advancing field within artificial
intelligence, gaining significant prominence in the detection and analysis of various medical …

The heterogeneity of Multiple Sclerosis (MS) is a challenge for the disease diagnosis and its
evolution. In order to monitor the treatment and progression of MS, the segmentation and …

Background The large language model ChatGPT can now accept image input with the GPT4-
vision (GPT4V) version. We aimed to compare the performance of GPT4V to pretrained U …