Recently, the 6G‐enabled Internet of Medical Things (IoMT) has played a key role in the
development of functional health systems due to the massive data generated daily from the …

As day-to-day-generated data become massive in the 6G-enabled Internet of medical things
(IoMT), the process of medical diagnosis becomes critical in the healthcare system. This …

This paper presents a system for medical image diagnosis that uses transfer learning (TL)
and feature selection techniques. The main aim of TL on pre-trained models such as …

Internet of Medical Things (IoMT) is the collection of medical devices and related
applications which link the healthcare IT systems through online computer networks. In the …

Research on biomedical science has many components like biomedical engineering,
biomedical signal processing, gene analysis, and biomedical image processing …

In recent years, huge volumes of healthcare data are getting generated in various forms. The
advancements made in medical imaging are tremendous owing to which biomedical image …

In ear of smart cities, intelligent medical image recognition technique has become a
promising way to solve remote patient diagnosis in IoMT. Although deep learning-based …

The medical and scientific communities are currently trying to treat infected patients and
develop vaccines for preventing a future outbreak. In healthcare, machine learning is proven …

In this paper, we indented to propose a consolidated feature selection and ensemble-based
classification strategy to diminish the medical big data. Here, the proposed system will be …

In medical science, imaging is the most effective diagnostic and therapeutic tool. Almost all
modalities have transitioned to direct digital capture devices, which have emerged as a …