[HTML][HTML] A review of deep learning in dentistry

C Huang, J Wang, S Wang, Y Zhang - Neurocomputing, 2023 - Elsevier
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

A systematic review of modern approaches in healthcare systems for lung cancer detection and classification

SK Pandey, AK Bhandari - Archives of Computational Methods in …, 2023 - Springer
Lung cancer has become a prevalent form of cancer; it can be found in persons of all age
groups. The early stage identification of lung cancer is required to control the integrated …

Recent advancements and future prospects in active deep learning for medical image segmentation and classification

T Mahmood, A Rehman, T Saba, L Nadeem… - IEEE …, 2023 - ieeexplore.ieee.org
Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …

Enhancing prognosis accuracy for ischemic cardiovascular disease using K nearest neighbor algorithm: a robust approach

G Muhammad, S Naveed, L Nadeem… - IEEE …, 2023 - ieeexplore.ieee.org
Ischemic Cardiovascular diseases are one of the deadliest diseases in the world. However,
the mortality rate can be significantly reduced if we can detect the disease precisely and …

A novel Heteromorphous convolutional neural network for automated assessment of tumors in colon and lung histopathology images

S Iqbal, AN Qureshi, M Alhussein, K Aurangzeb… - Biomimetics, 2023 - mdpi.com
The automated assessment of tumors in medical image analysis encounters challenges due
to the resemblance of colon and lung tumors to non-mitotic nuclei and their heteromorphic …

Employing Advanced Deep Learning Technology for the Detection of Kidney Stones in Unenhanced Computed Tomography (CT) Imaging: A Model-Based Approach

RA Dos Santos - International Journal of Technology …, 2023 - journals.gaftim.com
Kidney stones are currently considered a very common disease and recent studies have
shown a tendency for the incidence of this disease to increase in recent years. The disease …

Transforming educational insights: Strategic integration of federated learning for enhanced prediction of student learning outcomes

U Farooq, S Naseem, T Mahmood, J Li… - The Journal of …, 2024 - Springer
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …

Integrating artificial intelligence in industry 4.0: insights, challenges, and future prospects–a literature review

AEH Gabsi - Annals of Operations Research, 2024 - Springer
This review article explores the integration of artificial intelligence (AI) in industry 4.0 and its
transformative impact on the manufacturing sector. The core principles of industry 4.0 …

Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble

MM Hossain, MM Hossain, MB Arefin, F Akhtar, J Blake - Diagnostics, 2023 - mdpi.com
Skin cancer poses a significant healthcare challenge, requiring precise and prompt
diagnosis for effective treatment. While recent advances in deep learning have dramatically …

An Optimized Role-Based Access Control Using Trust Mechanism in E-Health Cloud Environment

AUR Butt, T Mahmood, T Saba, SO Bahaj… - IEEE …, 2023 - ieeexplore.ieee.org
In today's world, services are improved and advanced in every field of life. Especially in the
health sector, information technology (IT) plays a vigorous role in electronic health (e …