Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at
many different frequencies, at home and at work. Epidemiological studies indicate that there …

This paper provides a review of the common fuzzy system-based controllers as one of the
most powerful approaches in the control problem of antilock braking systems (ABSs) which …

Rationale and Objectives To develop and validate a radiomic model, with radiomic features
extracted from breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE …

One of the most prevalent malignant bone tumors is osteosarcoma. The diagnosis and
treatment cycle are long and the prognosis is poor. It takes a lot of time to manually identify …

Breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an
important role in the screening and treatment evaluation of high-risk breast cancer. The …

The early prediction of Alzheimer's disease (AD) can be vital for the endurance of patients
and establishes as an accommodating and facilitative factor for specialists. The proposed …

Breast tumor is one of the most prominent indicators for the diagnosis of breast cancer. The
precise segmentation of tumors is crucial for enhancing the accuracy of breast cancer …

In recent years, brain magnetic resonance imaging (MRI) image segmentation has drawn
considerable attention. MRI image segmentation result provides a basis for medical …

Semantic segmentation is the process of labeling each pixel of an input image with its
appropriate class. In biomedical image processing, semantic segmentation is a critical …

Tumour segmentation in medical images (especially 3D tumour segmentation) is highly
challenging due to the possible similarity between tumours and adjacent tissues, occurrence …