A CAD system for Alzheimer's disease classification using neuroimaging MRI 2D slices

M Sethi, S Rani, A Singh… - … Mathematical Methods in …, 2022 - Wiley Online Library
Developments in medical care have inspired wide interest in the current decade, especially
to their services to individuals living prolonged and healthier lives. Alzheimer's disease (AD) …

Exploring Research challenges of Blockchain and supporting Technology with potential solution in Healthcare

S Garg, R Kumar Kaushal, N Kumar… - … Journal of Computing …, 2024 - journal.uob.edu.bh
The healthcare industry is currently experiencing a digital revolution driven by developments
in information technology. This transformation is geared to improve health care, diagnosis …

[PDF][PDF] Predicting lumbar spondylolisthesis: a hybrid deep learning approach

D Saravagi, S Agrawal, M Saravagi… - … Automation & Soft …, 2023 - researchgate.net
Spondylolisthesis is a chronic disease, and a timely diagnosis of it may help in avoiding
surgery. Disease identification in x-ray radiographs is very challenging. Strengthening the …

Deep learning techniques using transfer learning for classification of alzheimer's disease

M Sethi, S Ahuja, P Bawa - … , Big Data Analytics, and IoT in …, 2023 - Wiley Online Library
Alzheimer's disease (AD) is a severe disorder in which brain cells degenerate, increasing
memory loss with treatment choices for AD symptoms varying based on the disease's stage …

Automated Detection of Violence in Detached Areas using Hybrid Deep Learning Models: A YOLO-5 and CNN Approach

V Gautam, H Maheshwari, RG Tiwari… - 2023 2nd …, 2023 - ieeexplore.ieee.org
The human violence rate increases gradually every year and it's increasing at a rate of 7%
annually. It has been observed in many studies that violence takes place suddenly in …

16 Gastric Cancer Diagnosis Using Machine Learning Techniques

D Jamil, S Palaniappan, S Bagchi… - Handbook on …, 2024 - books.google.com
Gastric cancer is a significant global health concern, ranking as the fifth most prevalent
cancer and the third primary cause of cancer-related mortality. It was predicted that there …

From Detection to Action: Managing Guava Diseases Using CNN and Random Forest Models

D Chouhan, M Kumari, C Kumar… - … on Automation and …, 2024 - ieeexplore.ieee.org
This study is about highlighting the identification and detection of guava fruit and guava
leaves disease using some modern techniques like Convolutional Neural Networks ie, CNN …

Exploring Agartha: A Subterranean Odyssey

C Shetty, NR Salian, H Sarojadevi… - … on Recent Advances …, 2023 - ieeexplore.ieee.org
In-depth study on successful open-world games, examination of user behavior and
preferences, and ongoing incorporation of user feedback throughout the production process …

Gastric Cancer Diagnosis Using Machine Learning Techniques: A Survey

D Jamil, S Palaniappan, S Bagchi, SK Debnath… - Handbook on … - taylorfrancis.com
Gastric cancer (GC) is a devastating disease with a low survival rate and early detection is
essential for effective treatment. The advent of artificial intelligence (AI) provides exciting …

[PDF][PDF] Research Article A CAD System for Alzheimer's Disease Classification Using Neuroimaging MRI 2D Slices

M Sethi, S Rani, A Singh, JLV Mazón - 2022 - academia.edu
Developments in medical care have inspired wide interest in the current decade, especially
to their services to individuals living prolonged and healthier lives. Alzheimer's disease (AD) …