Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from A severity-aware multi-task CNN-transformer framework for explainable diabetic foot ulcer triage and mobile deployment. Local targets link to admitted publications; unresolved targets remain external evidence.
An attention-enhanced ViT-HLNN hybrid ensemble framework for multi-class gastrointestinal disease classification
10.1038/s41598-026-51410-4 · External reference
HybridCATNet: explainable and uncertainty-aware pneumonia detection from chest X-Rays using a CNN-transformer with early multi-channel fusion
10.3389/fdgth.2026.1769444 · External reference
A genomics-guided multimodal contrastive learning framework for clinically significant prostate cancer risk stratification with missing clinical data
10.3390/cancers18121952 · External reference
SwishRes-U-Net: a deep neural architecture for chronic wound segmentation
10.1016/j.bspc.2024.107048 · 2025 · External reference
Unified wound diagnostic framework for wound segmentation and classification
10.1016/j.mlwa.2024.100616 · 2025 · External reference
Advancing diabetic foot ulcer care: AI and generative AI approaches for classification, prediction, segmentation, and detection
10.3390/healthcare13060648 · 2025 · External reference
Classification of diabetic foot ulcers from images using machine learning approach
10.3390/diagnostics14161807 · 2024 · External reference
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network
10.1007/s11042-019-07820-w · 2020 · External reference
Multi-modal wound classification using wound image and location by deep neural network
10.1038/s41598-022-21813-0 · 2022 · External reference
Diabetic foot ulcers and their recurrence
10.1056/nejmra1615439 · 2017 · External reference
SAAM-VetNet: an attention-based multi-task framework for animal disease detection and severity grading
10.1097/ms9.0000000000003728 · 2025 · External reference
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
10.1038/s41551-023-01049-7 · 2023 · External reference
“Big self-supervised models advance medical image classification,”
10.1109/iccv48922.2021.00346 · 2021 · External reference
“Diabetic foot ulcer grand challenge 2021: evaluation and summary,”
10.1007/978-3-030-94907-5_7 · External reference
The DFUC 2020 dataset: analysis towards diabetic foot ulcer detection
10.17925/ee.2021.17.1.5 · External reference
“A simple framework for contrastive learning of visual representations,”
2020 · External reference
Segmenting skin ulcers and measuring the wound area using deep convolutional networks
10.1016/j.cmpb.2020.105376 · 2020 · External reference
Self supervised contrastive learning for digital histopathology
10.1016/j.mlwa.2021.100198 · 2022 · External reference
FUSegNet: a deep convolutional neural network for foot ulcer segmentation
10.1016/j.bspc.2024.106057 · 2024 · External reference
Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images
10.1038/s41746-024-01159-9 · 2024 · External reference
MobileNetV2 model for detecting and grading diabetic foot ulcer
10.1007/s42452-025-06745-4 · 2025 · External reference
Dfunet: convolutional neural networks for diabetic foot ulcer classification
10.1109/tetci.2018.2866254 · 2018 · External reference
Recognition of ischaemia and infection in diabetic foot ulcers: dataset and techniques
10.1016/j.compbiomed.2020.103616 · 2020 · External reference
Self-supervised learning for medical image classification: a systematic review and implementation guidelines
10.1038/s41746-023-00811-0 · 2023 · External reference
Unresolved reference
2015 · External reference
Efficient wound classification using YOLO11n: a lightweight deep learning approach
10.32604/cmc.2025.065853 · 2025 · External reference
An explainable deep learning model for diabetic foot ulcer classification using Swin Transformer and efficient multi-scale attention-driven network
10.1038/s41598-025-87519-1 · 2025 · External reference
Deep learning-based classification of abrasion and ischemic diabetic foot sores using camera-captured images
10.3390/math11173793 · 2023 · External reference
“Interpretability beyond feature attribution: quantitative testing with concept activation vectors (tcav),”
2018 · External reference
Deep learning-based mobile application for the enhancement of pneumonia medical imaging analysis: a case-study of West-Meru Hospital
10.1016/j.imu.2024.101582 · 2024 · External reference
10.1109/lsp.2025.3617370
10.1109/lsp.2025.3617370 · 2025 · External reference
Brau-net++: U-shaped hybrid cnn-transformer network for medical image segmentation
10.1109/trpms.2026.3666783 · 2026 · External reference
FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging
10.48550/arxiv.2109.09658 · 2021 · External reference
“HarDNet-DFUS: enhancing backbone and decoder of HarDNet-MSEG for diabetic foot ulcer image segmentation,”
10.1007/978-3-031-26354-5_2 · 2022 · External reference
Spatiotemporal single-cell roadmap of human skin wound healing
10.1016/j.stem.2024.11.013 · 2025 · External reference
Unresolved reference
External reference
“On interpretability of deep learning based skin lesion classifiers using concept activation vectors,”
10.1109/ijcnn48605.2020.9206946 · 2020 · External reference
Effectiveness of silver dressings in the treatment of diabetic foot ulcers: a systematic review and meta-analysis
10.12968/jowc.2022.31.11.979 · 2022 · External reference
Clinical applications of machine learning for infection assessment in diabetic foot ulcers
10.3389/fphys.2026.1776883 · 2026 · External reference
Unresolved reference
External reference
Guidelines on the classification of foot ulcers in people with diabetes (IWGDF 2023 update)
10.1002/dmrr.3648 · 2024 · External reference
“Medical image segmentation using levit-unet++: a case study on gi tract data,”
10.1109/icsec56337.2022.10049343 · 2022 · External reference
A deep CNN transformer hybrid model for skin lesion classification of dermoscopic images using focal loss
10.3390/diagnostics13010072 · 2022 · External reference
Simulating malaria detection in laboratories using deep learning
10.48550/arxiv.2303.11759 · 2023 · External reference
Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis
10.7717/peerj-cs.2538 · 2024 · External reference
Multi-task deep learning for simultaneous classification and segmentation of cancer pathologies in diverse medical imaging modalities
10.3390/onco5030034 · 2025 · External reference
Federated versus central machine learning on diabetic foot ulcer images: comparative simulations
10.1109/access.2024.3392916 · 2024 · External reference
Diabetic foot ulcers detection model using a hybrid convolutional neural networks–vision transformers
10.3390/diagnostics15060736 · 2025 · External reference
Development and validation of a predictive AI framework for diabetic foot ulcer monitoring and severity assessment: a step towards self-monitoring and primary care integration
10.4258/hir.2026.32.1.69 · 2026 · External reference
Practical guidelines on the prevention and management of diabetes-related foot disease (IWGDF 2023 update)
10.1002/dmrr.3657 · 2024 · External reference
DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring
10.3389/fendo.2024.1386613 · 2024 · External reference
Multi-task deep learning model for automated detection and severity grading of lumbar spinal stenosis on MRI: multi-center external validation
10.3390/diseases14010032 · 2026 · External reference
Leveraging smart image processing techniques for early detection of foot ulcers using a deep learning network
10.5114/pjr/189412 · 2024 · External reference
A few-shot diabetes foot ulcer image classification method based on deep ResNet and transfer learning
10.1038/s41598-024-80691-w · 2024 · External reference
Cognitive edge computing: a comprehensive survey on optimizing large models and AI agents for pervasive deployment
10.22541/au.176348756.61222219/v1 · 2025 · External reference
“DFUNET: a residual network for retinal vessel,”
10.1109/iccse51940.2021.9569294 · 2021 · External reference
FAT-Net: feature adaptive transformers for automated skin lesion segmentation
10.1016/j.media.2021.102327 · 2022 · External reference
Enhancing diabetic foot ulcer prediction with machine learning: a focus on Localized examinations
10.1016/j.heliyon.2024.e37635 · 2024 · External reference
Development of diabetic foot ulcer datasets: an overview
10.1007/978-3-030-94907-5_1 · 2021 · External reference
Advanced hybrid transformer CNN framework for improved skin lesion classification and segmentation
10.1038/s41598-026-43376-0 · 2026 · External reference
