Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis
OAMF Alnaggar, BN Jagadale, MAN Saif… - Artificial Intelligence …, 2024 - Springer
In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …
A comprehensive survey on higher order neural networks and evolutionary optimization learning algorithms in financial time series forecasting
The financial market volatility has been a focus of study for experts over past decades. While
stockbrokers and investors expect reliable projections of future stock indices, it instead …
stockbrokers and investors expect reliable projections of future stock indices, it instead …
Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging
D Wolf, T Payer, CS Lisson, CG Lisson, M Beer… - Scientific Reports, 2023 - nature.com
Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors,
reduce radiologist workload, and accelerate diagnosis. Training such deep learning models …
reduce radiologist workload, and accelerate diagnosis. Training such deep learning models …
Industrial expert systems review: A comprehensive analysis of typical applications
X Yang, C Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
As a branch of artificial intelligence (AI), expert systems are well-known for interpreting and
deducing solutions to problems based on the rules contained within a knowledge base …
deducing solutions to problems based on the rules contained within a knowledge base …
Quantum classical hybrid convolutional neural networks for breast cancer diagnosis
Q **ang, D Li, Z Hu, Y Yuan, Y Sun, Y Zhu, Y Fu… - Scientific Reports, 2024 - nature.com
Abstract The World Health Organization states that early diagnosis is essential to increasing
the cure rate for breast cancer, which poses a danger to women's health worldwide …
the cure rate for breast cancer, which poses a danger to women's health worldwide …
Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview
Recently, artificial intelligence (AI)-based algorithms have revolutionized the medical image
segmentation processes. Thus, the precise segmentation of organs and their lesions may …
segmentation processes. Thus, the precise segmentation of organs and their lesions may …
Development a Novel Hybrid Deep Learning-Model for Brain Tumor Classification and Automated Diagnosis
Tumors of the brain are among the deadliest diseases of the century. Artificial intelligence
(AI) and neuroscience are used to identify, identify, and categorize brain tumors. A large …
(AI) and neuroscience are used to identify, identify, and categorize brain tumors. A large …
[HTML][HTML] Deep learning in pediatric neuroimaging
The integration of deep learning techniques in pediatric neuroimaging has shown significant
promise in advancing various aspects of the field. This paper provides a comprehensive …
promise in advancing various aspects of the field. This paper provides a comprehensive …
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
Deep neural networks are powerful image classifiers but do they attend to similar image
areas as humans? While previous studies have investigated how this similarity is shaped by …
areas as humans? While previous studies have investigated how this similarity is shaped by …
Deep learning-based blood cell classification from microscopic images for haematological disorder identification
Biomedicine struggles with blood-related disorders, although blood cells can reveal signs.
Automatic health diagnosis and monitoring using artificial intelligence (AI) can save time and …
Automatic health diagnosis and monitoring using artificial intelligence (AI) can save time and …