Convolutional Neural Networks in Medical Imaging: A Review DOI

Anjie Lin,

Bianping Su,

Yihe Ning

et al.

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 419 - 430

Published: Jan. 1, 2024

Language: Английский

Authenticating and securing healthcare records: A deep learning-based zero watermarking approach DOI
Ashima Anand, Jatin Bedi, Ashutosh Aggarwal

et al.

Image and Vision Computing, Journal Year: 2024, Volume and Issue: 145, P. 104975 - 104975

Published: March 12, 2024

Language: Английский

Citations

18
Recent advancements and applications of deep learning in heart failure: Α systematic review DOI
Georgios Petmezas, Vasileios E. Papageorgiou,

Vasileios Vassilikos

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 176, P. 108557 - 108557

Published: May 7, 2024

Language: Английский

Citations

13
Transfer learning by fine-tuning pre-trained convolutional neural network architectures for switchgear fault detection using thermal imaging DOI Creative Commons

Karim A.A. Mahmoud,

Mohamed M. Badr,

Noha A. Elmalhy

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 103, P. 327 - 342

Published: June 18, 2024

Language: Английский

Citations

5
A review of artificial intelligence in wound care DOI Open Access

Ovya Ganesan,

Miranda X. Morris,

Lifei Guo

et al.

Artificial Intelligence Surgery, Journal Year: 2024, Volume and Issue: 4(4), P. 364 - 75

Published: Nov. 4, 2024

Our aging population, diabetes, and obesity have fueled the growth of chronic wounds seen throughout world. Often, are a marker poor health that leads to increased mortality rates. However, diagnosis treatment these challenging. Incorrectly differentiating between other complex conditions can lead adverse events. Artificial intelligence (AI) has been shown offer some early benefits, we hypothesized it may enhance wound care but also carry notable risks. We performed detailed search using PubMed, Scopus, Cumulated Index in Nursing Allied Health Literature, Web Science for AI applications care. was found be applied characterization, monitoring tissue change, daily therapy, prevention prognostics. made more efficient accurate assessments, less painful assessments wounds, personalized treatment, improved prognostic prediction capabilities. allowed precise at-home observation care, facilitating earlier as needed. Challenges associated with included how best allocate AI-assisted technologies equitably, safely maintain patient data, diversify datasets algorithm training. Because algorithms not transparent, validating findings presents powerful tool several aspects advanced potential improve diagnoses, accelerate healing, reduce pain, cost-effectiveness More research needs done into incorporate clinical practice while keeping clinicians aware risks evolving technologies.

Language: Английский

Citations

4
Innovative fusion of VGG16, MobileNet, EfficientNet, AlexNet, and ResNet50 for MRI-based brain tumor identification DOI

Marjan Kia,

Soroush Sadeghi,

Homayoun Safarpour

et al.

Iran Journal of Computer Science, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Language: Английский

Citations

4
Performance evaluation of pretrained deep learning architectures for railway passenger ride quality classification DOI
Aliyu Kasimu, Wei Zhou, Qingkai Meng

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 118, P. 194 - 207

Published: Jan. 22, 2025

Language: Английский

Citations

0
A Deep Learning Model Based on RGB and Hyperspectral Images for Efficiently Detecting Tea Green Leafhopper Damage Symptoms DOI Creative Commons
Yang Xu,

Yilin Mao,

He Li

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100817 - 100817

Published: Feb. 1, 2025

Language: Английский

Citations

0
Application of Improved VGG Net in Metallographic Recognition DOI
Fei Gao, Denghui Wang, Zheng Zhang

et al.

Published: Jan. 10, 2025

Language: Английский

Citations

0
An image segmentation method using intuitionistic fuzzy k-means and convolutional neural networks in multiclass image classification DOI

Potharla Ramadevi,

Raja Das,

M. Lakshmi

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 111 - 129

Published: Jan. 1, 2025

Language: Английский

Citations

0
A new hybrid learning model for early diagnosis of hypertension using IoMT technologies DOI
Ayşe Eldem

Ain Shams Engineering Journal, Journal Year: 2025, Volume and Issue: 16(8), P. 103490 - 103490

Published: May 23, 2025

Language: Английский

Citations

0