Abstract
Alzheimer’s Neurodegenerative Disease is understood neurological issue, which is influenced cerebrum cells are causes the intellectual decrease and memory misfortune, the sickness begins gentle and deteriorates. There is a serious necessity to identify Alzheimer’s disease at an earlier stage, therefore that the appropriate treatment can initiate early. The foremost causes for Alzheimer’s diseases are low blood flow and brain activity. So, the serious Alzheimer disease has been recognized by several existing methodologies but they are fails to recognize the disease in the earlier stage. Thus, in this work use Single Photon Emission Nuclear Tomographic Imaging(SPECT) for find the Alzheimer’s diseases. The collected SPECT image noise is removed by applying Lucy-Richardson method and affected region is segmented by using Prolong adaptive exclusive analytical Atlas (PAEA). After this segmentation process Regional Atrophy Analysis (RAA) is apply for find the values of Gray Matters (GM) and White Matters (WM) regions in SPECT image. Finally Artificial Neural Network is applying for classification process. The experimental results shows that the promising outcomes in term of accuracy, sensitivity, and specificity.
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15 September 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s11042-022-13860-6
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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s11042-022-13860-6
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Kumar, R., Sakthidasan Sankaran, K., Sampath, R. et al. RETRACTED ARTICLE: Analysis of regional atrophy and prolong adaptive exclusive atlas to detect the alzheimers neuro disorder using medical images. Multimed Tools Appl 79, 10249–10265 (2020). https://doi.org/10.1007/s11042-019-7213-4
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DOI: https://doi.org/10.1007/s11042-019-7213-4