S Roy, S Nag, IK Maitra, SK Bandyopadhyay - arXiv preprint arXiv …, 2013 - arxiv.org
Tumor segmentation from magnetic resonance imaging (MRI) data is an important but time consuming manual task performed by medical experts. Automating this process is a …
Background Brain cancer is a destructive and life-threatening disease that imposes immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
Brain tumor segmentation is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the …
Brain tumor analysis plays an important role in medical imaging applications and in delivering a huge amount of anatomical and functional information, which increases and …
A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
S Krishnapriya, Y Karuna - Health and Technology, 2023 - Springer
Abstract Purpose Structural Magnetic Resonance Imaging (MRI) of the brain is an effective way to study its internal structure. Identifying and classifying brain malignancies is a difficult …
The process of segmenting tumor from MRI image of a brain is one of the highly focused areas in the community of medical science as MRI is noninvasive imaging. This paper …
The past few years have witnessed a significant increase in medical cases related to brain tumors, making it the 10th most common form of tumor affecting children and adults alike …
Brain image segmentation is one of the most time-consuming and challenging procedures in a clinical environment. Recently, a drastic increase in the number of brain disorders has …