Raman spectroscopy, as a label-free optical technology, has widely applied in tumor
diagnosis. Relying on the different Raman technologies, conventional diagnostic methods …

Lung cancer is responsible for more fatalities than any other cancer worldwide, with 1.76
million associated deaths reported in 2018. The key issue in the fight against this disease is …

Abstract Background and Objective Chest X-ray (CXR) is one of the most used imaging
techniques for detection and diagnosis of pulmonary diseases. A critical component in any …

The development of the Internet of Things (IoT) is predicted to change the healthcare
industry and might lead to the rise of the Internet of Medical Things. The IoT revolution is …

The objective of this study is to propose an alternative, hybrid solution method for
diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is …

Background and purpose Contouring of organs at risk (OARs) is an important but time
consuming part of radiotherapy treatment planning. The aim of this study was to investigate …

Now-a-days image processing placed an important role for recognizing various diseases
such as breast, lung, and brain tumors in earlier stage for giving the appropriate treatment …

This paper presents an optimized cuttlefish algorithm for feature selection based on the
traditional cuttlefish algorithm, which can be used for diagnosis of Parkinson's disease at its …

This paper presents the Modified Grey Wolf Optimization (MGWO) algorithm which helps
with the identification of the symptoms of Parkinson's disease at a premature stage …

In all the disease that have existed in mankind lung cancer has emerged as one of the most
fata one time and again. Also, it is one of the most common and contributing to deaths …