Image Segmentation

Elsevier, Digital Signal Processing: A Review Journal, Volume 123, 30 April 2022
With the continuous development of human society, people's over-exploitation of nature leads to frequent environmental problems. A large number of floating objects appear on lakes, rivers, reservoirs and other water surfaces. Water floats have seriously damaged the ecological environment and directly threatened the survival and development of human beings. Therefore, for the sustainable development of human beings, we must solve the problem of water pollution. The detection of floating pollutants on water surface is the primary goal of water resource management.
Elsevier, Measurement: Journal of the International Measurement Confederation, Volume 171, February 2021
In the recent past, biomedical domain has become popular due to digital image processing of accurate and efficient diagnosis of clinical patients using Computer-Aided Diagnosis (CAD). Appropriate and punctual disease identification and treatment arrangement directs to enhance superiority of life and improved life hope in Alzheimer Disease (AD) patients. The cutting-edge approaches that believe multimodal analysis have been shown to be efficient and accurate are improved compared with manual analysis.
The enormous social and economic cost of Alzheimer's disease (AD) has driven a number of neuroimaging investigations for early detection and diagnosis. Towards this end, various computational approaches have been applied to longitudinal imaging data in subjects with Mild Cognitive Impairment (MCI), as serial brain imaging could increase sensitivity for detecting changes from baseline, and potentially serve as a diagnostic biomarker for AD. However, current state-of-the-art brain imaging diagnostic methods have limited utility in clinical practice due to the lack of robust predictive power.
Alzheimer's disease is the most common form of dementia and is a serious health problem. The disease is expected to increase further in the upcoming years with the increase of the elderly population. Developing new treatments and diagnostic methods is getting more important. In this study, we focused on the early diagnosis of dementia in Alzheimer's disease via analysis of neuroimages. We analyzed the data diagnosed by the Alzheimer's Disease Neuroimaging Initiative (ADNI) protocol.