A Comparitive Evaluation Of Custom CNN, Sequential CNN & Dense-Net Models to forecast Dementia-Reference-Cited by-同舟云学术

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A Comparitive Evaluation Of Custom CNN, Sequential CNN & Dense-Net Models to forecast Dementia

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
language:
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Author:

Sobhana M.¹,Hindu Kilaru¹,Girishma Nukala¹,Bhavani Palacharla Shirisha¹,Rajeswari S.¹

Affiliation:

1. Velagapudi Ramakrishna Siddhartha Engineering College,Computer Science and Engineering,Vijayawada,Andhra Pradesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250476.pdf?arnumber=10250476

Reference18 articles.

1. DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images

2. Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records

3. A Deep Neural Network-Based Method for Prediction of Dementia Using Big Data

4. Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study

5. Multi-Method Analysis of Medical Records and MRI Images for Early Diagnosis of Dementia and Alzheimer’s Disease Based on Deep Learning and Hybrid Methods

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1. Mobile App for Muzzle Pattern Recognition for Cattle Identification Using Feature Extraction;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

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