Copertina

Hybrid BeeHive Algorithm: Proposed Ensemble Model for Multiclass Multi‐Label Ophthalmological Eye Diseases Prediction

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Akanksha Bali, Kuljeet Singh, Vibhakar Mansotra
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2026
Soggetti:	International Journal of Imaging Systems and Technology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Investigating the Correlation Between Ocular Diseases for Retinal Layer Fractal Dimensions Analysis Using Multiclass Segmentation With Attention U‐Net
di: M. Saranya, et al.
Pubblicazione: (2025)

Lightweight Local–Global Fusion for Robust Multiclass Classification of Skin Lesions
di: Guangli Li, et al.
Pubblicazione: (2025)

Ant Colony Optimization‐Based Deep Ensemble Learning Model for Improved Gastrointestinal Disease Detection
di: Sohaib Asif, et al.
Pubblicazione: (2025)

3D Microscopic Images Segmenter Modeling by Applying Two‐Stage Optimization to an Ensemble of Segmentation Methods Using a Genetic Algorithm
di: Muamer Kafadar, et al.
Pubblicazione: (2025)

Hybrid 1D CNN ‐ BiLSTM Model for Early Parkinson's Disease Detection From Speech Signals
di: John Kehinde Olawuyi, et al.
Pubblicazione: (2026)

A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer
di: Ahmet Nusret Toprak, et al.
Pubblicazione: (2024)

A Hybrid Deep Spatiotemporal Attention‐Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals
di: Niloufar Delfan, et al.
Pubblicazione: (2024)

BATU: A Workflow for Multi‐Network Ensemble Learning in Cross‐Dataset Generalization of Skin Lesion Analysis
di: Ömer Faruk Söylemez
Pubblicazione: (2025)

MT‐BAAN: Multi‐View Topological Bilinear Aggregation Attention Network Model for Alzheimer's Disease Diagnosis
di: Jie Liu, et al.
Pubblicazione: (2025)

Efficient‐Residual Net—A Hybrid Neural Network for Automated Brain Tumor Detection
di: Jainy Sachdeva, et al.
Pubblicazione: (2024)

Correction to “Multi‐Branch Sustainable Convolutional Neural Network for Disease Classification”
Pubblicazione: (2024)

Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging
di: Mohammad Mehdi Hosseini, et al.
Pubblicazione: (2024)

Infusing Weighted Average Ensemble Diversity for Advanced Breast Cancer Detection
di: Barsha Abhisheka, et al.
Pubblicazione: (2024)

Skin Cancer Classification in Dermoscopic Images Using Multi‐Scale Feature Map Fusion Based on Deep Learning
di: Arvind Singh Rajpoot, et al.
Pubblicazione: (2025)

MFH‐Net: A Hybrid CNN‐Transformer Network Based Multi‐Scale Fusion for Medical Image Segmentation
di: Ying Wang, et al.
Pubblicazione: (2024)

TBDD : Three‐Branch Disease‐Driven Model for Medical Report Generation
di: Dengao Li, et al.
Pubblicazione: (2026)

Integrating Fuzzy Scoring for Patching With Ensemble Learning to Refine Histopathological Subtyping of Lung Adenocarcinoma
di: Mohammad Mehdi Hosseini, et al.
Pubblicazione: (2026)

VKT : A Hybrid Vision KAN ‐Transformer Model for Medical Image Classification
di: Guanghua He, et al.
Pubblicazione: (2026)

Multi‐Class Classification of Diabetic Retinopathy Diseases From Fundus Images Using Criss‐Cross Attention Based Deep Residual Squeeze and Excitation Assisted Vision Transformer Model
di: Satti Mounika, et al.
Pubblicazione: (2025)

Hybrid MRUNet +: Enhanced Multi‐Structure Retinal Segmentation for Optic Cup, Disc, and Vascular Features in Complex Imaging Conditions
di: Abdul Qadir Khan, et al.
Pubblicazione: (2026)

A Deep Learning‐Based DenseEchoNet Framework With eXplainable Artificial Intelligence for Accurate and Early Heart Disease Prediction
di: Meghavathu S. S. Nayak, et al.
Pubblicazione: (2025)

Advancing Computer‐Assisted Diabetic Retinopathy Grading: A Super Learner Ensemble Technique for Fundus Imagery
di: Mili Rosline Mathews, et al.
Pubblicazione: (2025)

Comprehensive Multitask Ensemble Segmentation and Clinical Interpretation of Pancreatic and Peripancreatic Anatomy With Radiomics and Deep Learning Features
di: Ming Jiang, et al.
Pubblicazione: (2025)

Comprehensive Experimentation of Pretrained Models on Slice‐Based Classification of Interstitial Lung Disease Patterns
di: Hakan Buyukpatpat, et al.
Pubblicazione: (2025)

DIER ‐Net: Debiased Learning With Medical Image Noisy Label by Intrinsic and Extrinsic Regularization
di: Cheng Xue
Pubblicazione: (2025)

Dual Diversity and Pseudo‐Label Correction Learning for Semi‐Supervised Medical Image Segmentation
di: Guangxing Du, et al.
Pubblicazione: (2025)

Cross‐Slice Context Modeling via Hybrid Mamba‐ CNN for Universal Lesion Detection in CT Scans
di: Shanshan Li, et al.
Pubblicazione: (2026)

EDenseNetViT : Leveraging Ensemble Vision Transform Integrated Transfer Learning for Advanced Differentiation and Severity Scoring of Tuberculosis
di: Mamta Patankar, et al.
Pubblicazione: (2025)

HPPE ‐Unet: A Boundary‐Enhanced U‐Shaped Network With Hybrid Attention and Multi‐Scale Feature Fusion for Small‐Sample Medical Image Segmentation
di: Changhao Sun, et al.
Pubblicazione: (2025)

Introducing PneumNet—A Groundbreaking Dual Version Deep Learning Model for Pneumonia Disease Detection
di: Khursheed Aurangzeb, et al.
Pubblicazione: (2024)

IGF ‐ CNN : An Optimized Deep Learning Model for Covid‐19 Classification
di: Vinayak Tiwari, et al.
Pubblicazione: (2025)

MARS ‐Net: Multi‐Scale Attention Residual Spatiotemporal Network for Robust Left Ventricular Ejection Fraction Prediction in Echocardiography Videos
di: Shun Cheng, et al.
Pubblicazione: (2025)

A Structure‐Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzheimer's Disease Diagnosis
di: Xutao Guo, et al.
Pubblicazione: (2025)

Detection of Plus Disease in Retinopathy of Prematurity Using Deep Learning Models: Evaluating Vision Transformers and ResNet Architectures
di: Ibrahim Kocak, et al.
Pubblicazione: (2025)

Federated Transfer Learning for Lung Disease Detection
di: Shrey Sumariya, et al.
Pubblicazione: (2025)

Category‐Specific Uncertainty Learning for Retinal Disease Diagnosis
di: Lingyi Chu, et al.
Pubblicazione: (2026)

Medical Image Fusion for Multiple Diseases Features Enhancement
di: Sajid Ullah Khan, et al.
Pubblicazione: (2024)

SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images
di: Yongjie Liu, et al.
Pubblicazione: (2024)

ADT‐UNet: An Innovative Algorithm for Glioma Segmentation in MR Images
di: Liu Zhipeng, et al.
Pubblicazione: (2024)

HCN: Hybrid Capsule Network for Fetal Plane Classification in Ultrasound Images
di: Sourav Kumar Tanwar, et al.
Pubblicazione: (2024)