The present work aims to explore the performance of fuzzy system-based medical image
processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear …

In the medical image analysis, recognition of tumor in brain is very important task and it
leads cancer which should be diagnosed at early stage. It is an irregular cell population in …

Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …

Wheat is the third most harvested and consumed grain in the world. However, a large part of
wheat crop becomes spoiled due to diseases. There are over two dozen of wheat diseases …

Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment
process and helps to save the lives of a large number of people worldwide. Because they …

The latest research in the field of recognition of image characters has led to various
developments in the modern technological works for the improvement of recognition rate …

When athletes perform different sports, the angles of joints and the speed of movement are
different, which causes the feature capture points to not correspond to the key areas well …

The technological advent in smart sensing devices and the Internet has provided practical
solutions in various sectors of networking, public and private sector industries, and …

Automatically segmenting the liver is a challenging process, and segmenting the tumour
from the liver adds another layer of complexity. Because of the overlap in intensity and …

The existing work on unsupervised segmentation frequently does not present any statistical
extent to estimating and equating procedures, gratifying a qualitative calculation …