Multi-Class Alzheimer's Disease Classification Using a Fine-Tuned InceptionV3 Pretrained Model: A Step Towards Diagnosis and Prediction-Reference-Cited by-同舟云学术

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Multi-Class Alzheimer's Disease Classification Using a Fine-Tuned InceptionV3 Pretrained Model: A Step Towards Diagnosis and Prediction

Published:2023-11-24 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Futuristic Technologies (INCOFT)
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Author:

Sharma Gunjan¹,Anand Vatsala¹,Chauhan Rahul²,Garg Navin³,Gupta Sheifali¹

Affiliation:

1. Chitkara University Institute of Engineering and Technology and Chitkara University,Punjab,India

2. Computer Science and Engineering Graphic Era Hill University,Dehradun,Uttarakhand,India

3. Computer Science and Engineering, Graphic Era Deemed to be University,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424959/10424987/10425243.pdf?arnumber=10425243

Reference20 articles.

1. Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases

2. Adaptation of the Clinical Dementia Rating Scale for adults with Down syndrome

3. Binary Classification of Alzheimer’s Disease Using sMRI Imaging Modality and Deep Learning

4. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

5. Maize Disease classification using Deep Learning Techniques: A Review

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