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Curve evolution based on shape constraint is carried out to segment the complex brain structure such as HC and GM. Pre-trained models are used to observe the severity variation in these regions. This work is evaluated on ADNI database. The outcome of the proposed work shows that curve evolution method could segment HC and GM regions with better correlation. Pre-trained models are able to show significant severity difference among WB, GM and HC regions for the\u00a0considered classes. Further, prominent variation is observed between AD vs. EMCI, AD vs. MCI and AD vs. LMCI in the whole brain, GM and HC. It is concluded that AlexNet model for HC region result in better classification for AD vs. EMCI, AD vs. MCI and AD vs. LMCI with an accuracy of 93, 78.3 and 91% respectively.<\/jats:p>","DOI":"10.1515\/bmt-2021-0070","type":"journal-article","created":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T20:57:58Z","timestamp":1633985878000},"page":"581-592","source":"Crossref","is-referenced-by-count":2,"title":["Hippocampus segmentation and classification for dementia analysis using pre-trained neural network models"],"prefix":"10.1515","volume":"66","author":[{"given":"Ahana","family":"Priyanka","sequence":"first","affiliation":[{"name":"Department of Electronics Engineering , Madras Institute of Technology , Chennai , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kavitha","family":"Ganesan","sequence":"additional","affiliation":[{"name":"Department of Electronics Engineering , Madras Institute of Technology , Chennai , India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2021,10,11]]},"reference":[{"key":"2023033114475183098_j_bmt-2021-0070_ref_001","doi-asserted-by":"crossref","unstructured":"Drew, L. 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