Advancement in medical report generation: current practices, challenges, and future directions
M Rehman, I Shafi, J Ahmad, CO Garcia… - Medical & Biological …, 2024 - Springer
The correct analysis of medical images requires the medical knowledge and expertise of
radiologists to understand, clarify, and explain complex patterns and diagnose diseases …
radiologists to understand, clarify, and explain complex patterns and diagnose diseases …
FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer's Disease using MRI Scan Images
Early detection of Alzheimer's disease (AD) is crucial for timely intervention and
management of this debilitating neurodegenerative disorder. However, it demands further …
management of this debilitating neurodegenerative disorder. However, it demands further …
Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models
K Moulaei, L Afshari, R Moulaei, B Sabet… - Scientific Reports, 2024 - nature.com
Failure to predict stroke promptly may lead to delayed treatment, causing severe
consequences like permanent neurological damage or death. Early detection using deep …
consequences like permanent neurological damage or death. Early detection using deep …
Cloud, IoT and Data Science
M Younas, I Awan - Information Systems Frontiers, 2024 - Springer
This special issue has been organized to solicit papers via an open call as well as selected
papers from the 8th International Conference on Future Internet of Things and Cloud …
papers from the 8th International Conference on Future Internet of Things and Cloud …
Unveiling Lung Diseases in CT Scan Images With a Hybrid Bio‐Inspired Mutated Spider‐Monkey and Crow Search Algorithm
Bio‐inspired computer‐aided diagnosis (CAD) has garnered significant attention in recent
years due to the inherent advantages of bio‐inspired evolutionary algorithms (EAs) in …
years due to the inherent advantages of bio‐inspired evolutionary algorithms (EAs) in …
Automatic Landmark Detection for Preoperative Planning of High Tibial Osteotomy Using Traditional Feature Extraction and Deep Learning Methods
J Han, X Ma, Y Lyu, H Bai - The International Journal of Medical …, 2024 - Wiley Online Library
ABSTRACT Background Automatic High Tibial Osteotomy (HTO) landmark detection
methods promise to improve the effectiveness and standardisation of HTO preoperative …
methods promise to improve the effectiveness and standardisation of HTO preoperative …
Detection of autism spectrum disorder using multi‐scale enhanced graph convolutional network
Abstract Magnetic Resonance Imaging (MRI) based Autism Spectrum Disorder (ASD)
detection approaches face various challenges due to variations in brain connectivity …
detection approaches face various challenges due to variations in brain connectivity …
[引用][C] Defect Detection and Classification of Groundnut (Arachis Hypogaea L.) Seed using Ensemble Deep Learning Techniques
G Dinkie - 2024