Microorganisms play a vital role in human life. Therefore, microorganism detection is of great
significance to human beings. However, the traditional manual microscopic detection …

Brain tumor classification is a challenging task in the field of medical image processing. The
present study proposes a hybrid method using Neutrosophy and Convolutional Neural …

Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

Brain tumors' diagnoses occur mainly by Magnetic resonance imaging (MRI) images. The
tissue analysis methods are used to define these tumors. Nevertheless, few factors like the …

Brain tumor is an abnormal growth of cells in the brain that its diagnosis in the early stages
can help us to prevent the dangers of the next stage. In this paper, a new meta-heuristic …

Sustainable site selection for electric vehicle charging station (EVCS) is a significant process
in the promotion of electric vehicle system development. The assessment and selection of …

Magnetic resonance imaging (MRI) images can be used to diagnose brain tumors. Thanks
to these images, some methods have so far been proposed in order to distinguish between …

This paper proposes a modified marine predators algorithm based on quantum theory to
handle the multilevel image segmentation problem. The main aims of using quantum theory …

El presente estudio tiene como objetivo principal examinar la aplicación de la neutrosofía
en el campo de las ciencias médicas, a través de una revisión bibliográfica narrativa. Se ha …

One of the top causes of mortality in people globally is a brain tumor. Today, biopsy is
regarded as the cornerstone of cancer diagnosis. However, it faces difficulties, including low …