Saved in:
| Main Authors: | Wu, Yihang, Chaddad, Ahmad |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.09355 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Classification based deep learning models for lung cancer and disease using medical images
by: Chaddad, Ahmad, et al.
Published: (2025)
by: Chaddad, Ahmad, et al.
Published: (2025)
Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025)
by: Wu, Yihang, et al.
Published: (2025)
Deep Modeling and Interpretation for Bladder Cancer Classification
by: Chaddad, Ahmad, et al.
Published: (2026)
by: Chaddad, Ahmad, et al.
Published: (2026)
Deep Modeling and Optimization of Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025)
by: Wu, Yihang, et al.
Published: (2025)
Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)
by: Lu, Yunyao, et al.
Published: (2025)
Domain Adaptation Techniques for Natural and Medical Image Classification
by: Chaddad, Ahmad, et al.
Published: (2025)
by: Chaddad, Ahmad, et al.
Published: (2025)
FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
by: Wu, Yihang, et al.
Published: (2024)
by: Wu, Yihang, et al.
Published: (2024)
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
by: Wen, Binbin, et al.
Published: (2025)
by: Wen, Binbin, et al.
Published: (2025)
Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification
by: Zhao, Xinyuan, et al.
Published: (2026)
by: Zhao, Xinyuan, et al.
Published: (2026)
Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
by: Lu, Yunyao, et al.
Published: (2025)
by: Lu, Yunyao, et al.
Published: (2025)
GMGaze: MoE-Based Context-Aware Gaze Estimation with CLIP and Multiscale Transformer
by: Zhao, Xinyuan, et al.
Published: (2026)
by: Zhao, Xinyuan, et al.
Published: (2026)
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
by: Chaddad, Ahmad, et al.
Published: (2025)
by: Chaddad, Ahmad, et al.
Published: (2025)
A review of deep learning-based information fusion techniques for multimodal medical image classification
by: Li, Yihao, et al.
Published: (2024)
by: Li, Yihao, et al.
Published: (2024)
Probabilistic smooth attention for deep multiple instance learning in medical imaging
by: Castro-Macías, Francisco M., et al.
Published: (2025)
by: Castro-Macías, Francisco M., et al.
Published: (2025)
GazeFormer-MoE: Context-Aware Gaze Estimation via CLIP and MoE Transformer
by: Zhao, Xinyuan, et al.
Published: (2026)
by: Zhao, Xinyuan, et al.
Published: (2026)
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?
by: Rahman, Umaima, et al.
Published: (2024)
by: Rahman, Umaima, et al.
Published: (2024)
A comprehensive survey on deep active learning in medical image analysis
by: Wang, Haoran, et al.
Published: (2023)
by: Wang, Haoran, et al.
Published: (2023)
SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical Analysis
by: Hu, Yan, et al.
Published: (2025)
by: Hu, Yan, et al.
Published: (2025)
On dataset transferability in medical image classification
by: Juodelyte, Dovile, et al.
Published: (2024)
by: Juodelyte, Dovile, et al.
Published: (2024)
Comparison of fine-tuning strategies for transfer learning in medical image classification
by: Davila, Ana, et al.
Published: (2024)
by: Davila, Ana, et al.
Published: (2024)
Systematic comparison of semi-supervised and self-supervised learning for medical image classification
by: Huang, Zhe, et al.
Published: (2023)
by: Huang, Zhe, et al.
Published: (2023)
KAN-Mixers: a new deep learning architecture for image classification
by: Canuto, Jorge Luiz dos Santos, et al.
Published: (2025)
by: Canuto, Jorge Luiz dos Santos, et al.
Published: (2025)
Deep classification algorithm for De-identification of DICOM medical images
by: Michele, Bufano, et al.
Published: (2025)
by: Michele, Bufano, et al.
Published: (2025)
Deep learning in medical image registration: introduction and survey
by: Hammoudeh, Ahmad, et al.
Published: (2023)
by: Hammoudeh, Ahmad, et al.
Published: (2023)
Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging
by: Wang, Jinhao, et al.
Published: (2025)
by: Wang, Jinhao, et al.
Published: (2025)
MedDINOv3: How to adapt vision foundation models for medical image segmentation?
by: Li, Yuheng, et al.
Published: (2025)
by: Li, Yuheng, et al.
Published: (2025)
Deep neural networks with Fisher vector encoding for medical image classification
by: Lyra, Lucas O., et al.
Published: (2026)
by: Lyra, Lucas O., et al.
Published: (2026)
Non-parametric regularization for class imbalance federated medical image classification
by: Wicaksana, Jeffry, et al.
Published: (2024)
by: Wicaksana, Jeffry, et al.
Published: (2024)
Bridging visual saliency and large language models for explainable deep learning in medical imaging
by: Nguezet, Paul Valery, et al.
Published: (2026)
by: Nguezet, Paul Valery, et al.
Published: (2026)
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
by: Castro-Macías, Francisco M., et al.
Published: (2024)
by: Castro-Macías, Francisco M., et al.
Published: (2024)
Equilibrium contrastive learning for imbalanced image classification
by: Roh, Sumin, et al.
Published: (2026)
by: Roh, Sumin, et al.
Published: (2026)
Contrastive meta-domain adaptation for robust skin lesion classification across clinical and acquisition conditions
by: Mota, Rodrigo, et al.
Published: (2026)
by: Mota, Rodrigo, et al.
Published: (2026)
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
by: Zheng, Guangyao, et al.
Published: (2023)
by: Zheng, Guangyao, et al.
Published: (2023)
Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study
by: Despotovic, Vladimir, et al.
Published: (2023)
by: Despotovic, Vladimir, et al.
Published: (2023)
Retrieval-enriched zero-shot image classification in low-resource domains
by: Dall'Asen, Nicola, et al.
Published: (2024)
by: Dall'Asen, Nicola, et al.
Published: (2024)
Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images (Preprint)
by: Sikder, Niloy, et al.
Published: (2024)
by: Sikder, Niloy, et al.
Published: (2024)
Exploring connections of spectral analysis and transfer learning in medical imaging
by: Lu, Yucheng, et al.
Published: (2024)
by: Lu, Yucheng, et al.
Published: (2024)
Prompt learning with bounding box constraints for medical image segmentation
by: Gaillochet, Mélanie, et al.
Published: (2025)
by: Gaillochet, Mélanie, et al.
Published: (2025)
Supervised domain adaptation for building extraction from off-nadir aerial images
by: Neupane, Bipul, et al.
Published: (2023)
by: Neupane, Bipul, et al.
Published: (2023)
Multiple data sources and domain generalization learning method for road surface defect classification
by: Trinh, Linh, et al.
Published: (2024)
by: Trinh, Linh, et al.
Published: (2024)
Similar Items
-
Classification based deep learning models for lung cancer and disease using medical images
by: Chaddad, Ahmad, et al.
Published: (2025) -
Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025) -
Deep Modeling and Interpretation for Bladder Cancer Classification
by: Chaddad, Ahmad, et al.
Published: (2026) -
Deep Modeling and Optimization of Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025) -
Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)