Review on Automated Brain Tumor Segmentation using Advanced Deep Learning Techniques: Enhancing Precision and Clinical Applicability DOI

V Vishalakshi,

T. Arunprasath,

Pallikonda Rajasekaran M

et al.

Published: Dec. 4, 2024

Language: Английский

SAlexNet: Superimposed AlexNet using Residual Attention Mechanism for Accurate and Efficient Automatic Primary Brain Tumor Detection and Classification DOI Creative Commons

Qurat-ul-ain Chaudhary,

Shahzad Ahmad Qureshi,

Touseef Sadiq

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104025 - 104025

Published: Jan. 1, 2025

Language: Английский

Citations

3
Advancing multiple sclerosis diagnosis through an innovative hybrid AI framework incorporating Multi-view ResNet and quantum RIME-inspired metaheuristics DOI Creative Commons

Mohamed G. Khattap,

Mohammed Sallah, Abdelghani Dahou

et al.

Ain Shams Engineering Journal, Journal Year: 2025, Volume and Issue: 16(2), P. 103241 - 103241

Published: Jan. 13, 2025

Language: Английский

Citations

1
Automated fall risk classification for construction workers using wearable devices, BIM, and optimized hybrid deep learning DOI
Min‐Yuan Cheng,

Deyla V.N. Soegiono,

Akhmad F.K. Khitam

et al.

Automation in Construction, Journal Year: 2025, Volume and Issue: 172, P. 106072 - 106072

Published: Feb. 19, 2025

Language: Английский

Citations

1
A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection DOI
Hatice Çatal Reis, Veysel Turk

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 189, P. 109916 - 109916

Published: March 6, 2025

Language: Английский

Citations

1
A Comprehensive Review of AI Diagnosis Strategies for Age-Related Macular Degeneration (AMD) DOI Creative Commons

Aya A. Abd El-Khalek,

Hossam Magdy Balaha, Ashraf Sewelam

et al.

Bioengineering, Journal Year: 2024, Volume and Issue: 11(7), P. 711 - 711

Published: July 13, 2024

The rapid advancement of computational infrastructure has led to unprecedented growth in machine learning, deep and computer vision, fundamentally transforming the analysis retinal images. By utilizing a wide array visual cues extracted from fundus images, sophisticated artificial intelligence models have been developed diagnose various disorders. This paper concentrates on detection Age-Related Macular Degeneration (AMD), significant condition, by offering an exhaustive examination recent learning methodologies. Additionally, it discusses potential obstacles constraints associated with implementing this technology field ophthalmology. Through systematic review, research aims assess efficacy techniques discerning AMD different modalities as they shown promise disorders diagnosis. Organized around prevalent datasets imaging techniques, initially outlines assessment criteria, image preprocessing methodologies, frameworks before conducting thorough investigation diverse approaches for detection. Drawing insights more than 30 selected studies, conclusion underscores current trajectories, major challenges, future prospects diagnosis, providing valuable resource both scholars practitioners domain.

Language: Английский

Citations

5
Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning DOI Creative Commons

Yash Pande,

Jyotismita Chaki

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103832 - 103832

Published: Dec. 1, 2024

Language: Английский

Citations

4
Early detection of monkeypox: Analysis and optimization of pretrained deep learning models using the Sparrow Search Algorithm DOI Creative Commons
Amna Bamaqa, Waleed M. Bahgat, Yousry AbdulAzeem

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 102985 - 102985

Published: Sept. 30, 2024

Language: Английский

Citations

3
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques DOI
Yogesh Kumar, Priya Bhardwaj, Supriya Shrivastav

et al.

Neuroinformatics, Journal Year: 2025, Volume and Issue: 23(2)

Published: Jan. 16, 2025

Language: Английский

Citations

0
AOA-guided hyperparameter refinement for precise medical image segmentation DOI
Hossam Magdy Balaha, Waleed M. Bahgat, Mansourah Aljohani

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 120, P. 547 - 560

Published: Feb. 24, 2025

Language: Английский

Citations

0
Securing SDON with hybrid evolutionary intrusion detection system: An ensemble algorithm for feature selection and classification DOI

Benitha Christinal J,

Ameelia Roseline A

Optical Fiber Technology, Journal Year: 2025, Volume and Issue: 93, P. 104206 - 104206

Published: March 20, 2025

Language: Английский

Citations

0