Copertina

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Xin, Zhu, Wenhui, Qiu, Peijie, Dumitrascu, Oana M., Youssef, Amal, Wang, Yalin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
di: Vasa, Vamsi Krishna, et al.
Pubblicazione: (2024)

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement
di: Zhu, Wenhui, et al.
Pubblicazione: (2025)

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models
di: Zhu, Wenhui, et al.
Pubblicazione: (2025)

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
di: Zhu, Wenhui, et al.
Pubblicazione: (2023)

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement
di: Xiong, Yujian, et al.
Pubblicazione: (2026)

nnMobileNet: Rethinking CNN for Retinopathy Research
di: Zhu, Wenhui, et al.
Pubblicazione: (2023)

SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
di: Qiu, Peijie, et al.
Pubblicazione: (2023)

nnMobileNet++: Towards Efficient Hybrid Networks for Retinal Image Analysis
di: Li, Xin, et al.
Pubblicazione: (2025)

Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification
di: Wang, Hao, et al.
Pubblicazione: (2024)

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement
di: Dong, Xuanzhao, et al.
Pubblicazione: (2024)

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection
di: Wang, Hao, et al.
Pubblicazione: (2024)

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
di: Vasa, Vamsi Krishna, et al.
Pubblicazione: (2024)

EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices
di: Li, Xin, et al.
Pubblicazione: (2024)

Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models
di: Zhu, Wenhui, et al.
Pubblicazione: (2025)

How Effective Can Dropout Be in Multiple Instance Learning ?
di: Zhu, Wenhui, et al.
Pubblicazione: (2025)

VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement
di: Dong, Xuanzhao, et al.
Pubblicazione: (2025)

Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement
di: Dong, Xuanzhao, et al.
Pubblicazione: (2026)

A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Disease Detection from Retinal Fundus Images
di: Djoumessi, Kerol, et al.
Pubblicazione: (2025)

Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification
di: Jannat, Fatema-E-, et al.
Pubblicazione: (2024)

EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion Prior
di: Xiang, Xin, et al.
Pubblicazione: (2024)

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
di: Chen, Xiwen, et al.
Pubblicazione: (2025)

Rethinking Deep Clustering Paradigms: Self-Supervision Is All You Need
di: Shaheena, Amal, et al.
Pubblicazione: (2025)

OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection
di: Jannat, Fatema-E, et al.
Pubblicazione: (2024)

Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning
di: Xiong, Yujian, et al.
Pubblicazione: (2024)

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
di: Zhu, Wenhui, et al.
Pubblicazione: (2024)

Balanced Few-Shot Episodic Learning for Accurate Retinal Disease Diagnosis
di: Khale, Jasmaine, et al.
Pubblicazione: (2025)

EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
di: Doulfoukar, Youssef, et al.
Pubblicazione: (2024)

VRWKV-Editor: Reducing quadratic complexity in transformer-based video editing
di: Aitrouga, Abdelilah, et al.
Pubblicazione: (2025)

An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications
di: Rodrigo, Kayne Uriel K., et al.
Pubblicazione: (2024)

Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales
di: Cheng, Zijie, et al.
Pubblicazione: (2025)

Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
di: Wang, Xingmei, et al.
Pubblicazione: (2025)

StyleVAR: Controllable Image Style Transfer via Visual Autoregressive Modeling
di: Jing, Liqi, et al.
Pubblicazione: (2026)

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
di: Zhu, Wenhui, et al.
Pubblicazione: (2024)

CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
di: Bouayed, Aymene Mohammed, et al.
Pubblicazione: (2024)

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
di: Singh, Pranav, et al.
Pubblicazione: (2023)

Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers
di: Islam, Saahil, et al.
Pubblicazione: (2024)

Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning
di: Wei, Yibing, et al.
Pubblicazione: (2024)

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis
di: Thrasher, Jacob, et al.
Pubblicazione: (2024)

PSScreen V2: Partially Supervised Multiple Retinal Disease Screening
di: Zheng, Boyi, et al.
Pubblicazione: (2025)

LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding
di: Dong, Xuanzhao, et al.
Pubblicazione: (2025)