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) …
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
The healthcare industry is currently experiencing a digital revolution driven by developments
in information technology. This transformation is geared to improve health care, diagnosis …
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 …
surgery. Disease identification in x-ray radiographs is very challenging. Strengthening the …
Deep learning techniques using transfer learning for classification of alzheimer's disease
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 …
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
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 …
annually. It has been observed in many studies that violence takes place suddenly in …
16 Gastric Cancer Diagnosis Using Machine Learning Techniques
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 …
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 …
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 …
preferences, and ongoing incorporation of user feedback throughout the production process …
Gastric Cancer Diagnosis Using Machine Learning Techniques: A Survey
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 …
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
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) …
to their services to individuals living prolonged and healthier lives. Alzheimer's disease (AD) …