Accurate and automatic brain metastases target delineation is a key step for efficient and
effective stereotactic radiosurgery (SRS) treatment planning. In this work, we developed a …

Brain Metastases (BM) complicate 20-40% of cancer cases. BM lesions can present as
punctate (1 mm) foci, requiring high-precision Magnetic Resonance Imaging (MRI) in order …

Simple Summary Low-grade gliomas (LGGs) are relatively slow-growing primary brain
tumors where the clinical criteria for tumor diagnosis and progression assessment include …

Background Low-grade gliomas cause significant neurological morbidity by brain invasion.
There is no universally accepted objective technique available for detection of enlargement …

Stain in-homogeneity adversely affects segmentation and quantification of tissues in
histology images. Stain normalisation techniques have been used to standardise the …

Extraction of the region of interest (ROI) from the X-ray welding images and MRI brain
images is extremely challenging due to their poor quality, low contrast, high noise and blurry …

A novel approach for mass segmentation from coarse-to-fine in digital mammography,
termed as SCM-motivated enhanced CV algorithm, is presented in this paper. As well …

The segmentation of brain tissue from MRI images is a vast subject of study, a critical task
and a very important issue for different medical applications; however, its numerous …

Ultrasound Computed Tomography (USCT) of soft biological tissues today provides images
with a high-level of resolution. The signal acquisition system using multichannel and/or …

Brain metastases (BM) are the most common intracranial tumors, and their prevalence is
increasing. High-resolution black-blood (BB) imaging was used to complement the …