Osteoporosis is a major public health issue requiring significant resources to address the
immediate and long-term consequences of fractures. Only a few research studies have been …

Background Early prognosis of a brain tumour may offer better life expectancy. Magnetic
Resonance Imaging (MRI) coupled with an efficient machine learning segmentation …

Abstract Background and Objective: This paper proposes a fully automated and
unsupervised stochastic segmentation approach using two-level joint Markov-Gibbs …

Medical image segmentation techniques have become a very imperative prerequisite for
accuracy and easiness of diagnosis in image analysis processes. An effective and novel …

The competitive segmentation of fuzzy clustering is utilized in a greater manner to deal with
the local spatial information of input medical images. Fuzzy clustering favours lesions and …

Tumors in the brain and pancreas are formed by abnormal cells accumulating in a tissue
mass in the human body. The standard technique for MRI tumor detection and …

Identification of pathological structures (tissue and tumor region) in brain MR images is
executed by an automated algorithm, and it requires improvement in processing time and …

Automated brain MR slices segmentation process is difficult, and further difficult is the
process of detecting the tumor and tissue regions, with a constraint of delivering higher …