A fast, accurate and fully automatic method of segmenting magnetic resonance images of
the human brain is introduced. The approach scales well allowing fast segmentations of fine …

We present a new technique for segmenting brain nuclei from MRI brain images. Our
method performs the segmentation using a combination approach of thresholding with …

This paper presents a learning-based approach to segment postal address blocks where the
learning step uses only one pair of images (a sample image and its ideal segmented …

This study focuses on segmentation and validation of brain MR images. Artificial neural
network (ANN) has been applied to obtain the targeted segments from these images. In …

Automated MRI (Magnetic Resonance Imaging) brain tumour segmentation is a difficult task
due to the variance and complexity of tumours. In this paper, we explored a new method for …

UMA ABORDAGEM DE SEGMENTAÇÃO DE IMAGENS POR APRENDIZAGEM Page 1
HORACIO ANDRÉS LEGAL AYALA UMA ABORDAGEM DE SEGMENTAÇÃO DE IMAGENS …

Diagnostic imaging is a critical tool in healthcare sector. There are various modalities such
as Magnetic resonance imaging (MRI), computed tomography (CT), digital mammography …

Feature extraction is an important component for MRI (Magnetic Resonance Imaging) brain
image classification. This paper presents a new approach of feature extraction from the …

Brain tissue segmentation on structural Magnetic Resonance Imaging (MRI) has received
considerable attention. Quantitative analysis of MR images of the brain is of interest in order …

Although nowadays there are working systems for sorting mail in some constraint ways,
segmenting gray level images of envelopes is still a difficult problem. This paper presents a …