Medical image segmentation plays an important role in medical-imaging applications and
they provide a large amount of functional and anatomical information, which improve and …

This study proposes a computer aided detection approach to diagnose brain tumor in its
early stage using Mathematical Morphological Reconstruction (MMR). Image is pre …

Image segmentation plays a vital role in various medical applications for automated disease
examination. In this paper, heuristic algorithm assisted approach is proposed to extract the …

A method for predicting the performance of a proton exchange membrane fuel cell (PEMFC)
system of a commercially available electrical bicycle using a support vector machine (SVM) …

The identification of brain tumors is multifarious work for the separation of the similar
intensity pixels from their surrounding neighbours. The detection of tumors is performed with …

Image segmentation plays an important role in medical image processing. Fuzzy c‐means
(FCM) clustering is one of the popular clustering algorithms for medical image segmentation …

Automatic brain tumor classification of tissue types plays a significant task in computer-aided
medical diagnosis. In recent years, classification of brain tumors types like meningioma (T1) …

Image segmentation of medical images is a challenging problem with several still not totally
solved issues, such as noise interference and image artifacts. Region-based and histogram …

Medical image segmentation is a difficult task, essentially due to the inherent complexity of
human body structures and the acquisition methods of this kind of images. Manual …

Computer Vision has played a crucial role in multiple fields of work including in medical
applications. Some of these applications can be found in brain tumor detection. Early …