Positron emission tomography (PET) imaging serves as one of the most competent methods
for the diagnosis of various malignancies, such as lung tumor. However, with an elevation in …

Background and objectives The MRI brain tumors segmentation is challenging due to
variations in terms of size, shape, location and features' intensity of the tumor. Active contour …

Medical image quality is crucial to obtaining reliable diagnostics. Most quality controls rely
on routine tests using phantoms, which do not reflect closely the reality of images obtained …

Background: This paper reviews the recent techniques employed to process brain tumor
images from Magnetic Resonance (MR) images. Automation in tumor and its sub …

Brain tumors can have different shapes or locations, making their identification very
challenging. In functional MRI, it is not unusual that patients have only one anatomical …

This study presents a comprehensive framework that integrates a deep learning model with
advanced image preprocessing techniques to improve the multilabel classification of five …

We propose a new method for detecting the abnormality in cerebral tissues present within
Magnetic Resonance Images (MRI). Present classifier is comprised of cerebral tissue …

A Brain tumour is an abnormal tissue that grows by uncontrolled cell division. CT and MRI
scans are the two most important and commonly used imaging modalities to identify the …

Positron emission tomography/Computed Tomography (PET/CT) scanning is viewed as one
of most effective technologies for lung tumor diagnosis. However, with increasing application …

Since the causes of breast cancer remain unknown, early diagnosis can increase the
survival rate and reduce the mortality rate. Screening is a powerful way to detect breast …