The liver performs a critical task in the human body; therefore, detecting liver diseases and
preparing a robust plan for treating them are both crucial. Liver diseases kill nearly 25,000 …

Segmentation of image is a complex task. To recognize an image, segmentation is essential
parts. During image segmentation, subsets of images on the basis of some features like gray …

The speed and accuracy with which the patient affected with brain tumour is diagnosed and
monitored, plays a very crucial role in providing treatment to the patient. During the …

This study proposes a novel concept for the computerized segmentation of ultrasound
images of connective tissue based on movement. Tendons and ligaments are capable of …

K-nearest neighbors (KNN) is a widely used neural network and machine learning
classification algorithm. Recently, it has been used in the neural network and digital image …

Image mining is tantamount to data mining concept. It is most imperative to understand the
data mining concept to the prior knowledge of image mining. Data mining is an assemblage …

Tiger has become the reserve animal. Conservation of tiger has been the challenging task.
This research would add a small account to the herculean task of conserving the species …

In chromosome analysis, local band analysis plays the main role to identify the perfect
matched chromosome in metaspread images to attain the karyotyping. Literature …

Abstract Background/Objectives: Automatic segmentation of brain MRI has an important role
in image research along with medical image processing. It has been investigated widely in …

Text Segmentation of text from degraded document images is a very complex task due to
high mutation between the document background and foreground region. Automatic text …