Detection of Alzheimer’s Disease using CNN Architectures

Alzheimer’s disease is a neurological condition that causes some structural alterations in the brain. In this paper we have given an overview of all the available good CNN models used in medical imaging for image classification purpose such asAlexNet, GoogleNet, ResNet 18, ResNet 50, SqueezeNet and DenseNet. Using these CNN models, we have been able to classify three different stages of Alzheimer's disease – Cognitively Normal (NC), Mild Cognitive Impairment (MCI) and Alzheimer’s Disease(AD). The dataset is derived from ADNI and has been preprocessed before applying various CNN models. The experimental results demonstrate that all models performed well and the best accuracy has been acquired by the GoogleNet of 96.81%

STANDARD MANUFACTURING PROCEDURE PROTOCOL FOR TUTTHA BHASMA AN AYURVEDIC ALCHEMY AND ITS UTILITY

Objective: Standard operating protocol for manufacturing of Tuttha bhasma is a precious metal used in Ayurveda Alchemy Rasa Shastra. Methods: The study was facilitated by collecting Tuttha and was procured from Pharmacy IPGT and RA, Gujarat Ayurved University, Jamnagar. With Grahya Lakshanas (qualities as described in the classics), namely, Snigdha (unctuous), Guru (heavy), and Mahaujjala (very bright blue in color) were observed and selected the sample for the study.Results: From the study, we obtained Tuttha after shodhana is 105 g, 102 g, and 105 g, the average 104% while Marana with Gandhaka media it is 39.2% and in Marana without Gandhaka it is 24.8%.Conclusion: The study confirms that the manufacturings of Tuttha have contained the purification of Gandhak and its utility and the trituratation with Bijora nimbu and heating pattern of Tuttha bhasama