Cargando…

Self-FI: Self-Supervised Learning for Disease Diagnosis in Fundus Images

Self-supervised learning has been successful in computer vision, and its application to medical imaging has shown great promise. This study proposes a novel self-supervised learning method for medical image classification, specifically targeting ultra-wide-field fundus images (UFI). The proposed met...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nguyen, Toan Duc, Le, Duc-Tai, Bum, Junghyun, Kim, Seongho, Song, Su Jeong, Choo, Hyunseung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526021/ https://www.ncbi.nlm.nih.gov/pubmed/37760191 http://dx.doi.org/10.3390/bioengineering10091089

Ejemplares similares

Multi-Scale Learning with Sparse Residual Network for Explainable Multi-Disease Diagnosis in OCT Images
por: Bui, Phuoc-Nguyen, et al.
Publicado: (2023)

Discriminative-Region Multi-Label Classification of Ultra-Widefield Fundus Images
por: Pham, Van-Nguyen, et al.
Publicado: (2023)

Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus Imaging
por: Pachade, Samiksha, et al.
Publicado: (2022)

Delay-Aware Reverse Approach for Data Aggregation Scheduling in Wireless Sensor Networks
por: Nguyen, Dung T., et al.
Publicado: (2019)

Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems
por: Le, Ha An, et al.
Publicado: (2021)

Semi-supervised segmentation of retinoblastoma tumors in fundus images
por: Rahdar, Amir, et al.
Publicado: (2023)

SelfCoLearn: Self-Supervised Collaborative Learning for Accelerating Dynamic MR Imaging
por: Zou, Juan, et al.
Publicado: (2022)

Wireless-Powered Chemical Sensor by 2.4 GHz Wi-Fi Energy-Harvesting Metamaterial
por: Lee, Wonwoo, et al.
Publicado: (2018)

Self-supervised Learning for Semi-supervised Time Series Classification
por: Jawed, Shayan, et al.
Publicado: (2020)

Self-supervised learning for modal transfer of brain imaging
por: Cheng, Dapeng, et al.
Publicado: (2022)

Semi‐supervised classification of fundus images combined with CNN and GCN
por: Duan, Sixu, et al.
Publicado: (2022)

Self-Supervised Joint Learning Fault Diagnosis Method Based on Three-Channel Vibration Images
por: Zhang, Weiwei, et al.
Publicado: (2021)

Audio self-supervised learning: A survey
por: Liu, Shuo, et al.
Publicado: (2022)

Self-supervised Learning: A Succinct Review
por: Rani, Veenu, et al.
Publicado: (2023)

Structure-aware protein self-supervised learning
por: Chen, Can (Sam), et al.
Publicado: (2023)

TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model
por: Sun, Junding, et al.
Publicado: (2022)

Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis
por: Li, Zhongliang, et al.
Publicado: (2023)

Self-supervised deep learning for highly efficient spatial immunophenotyping
por: Zhang, Hanyun, et al.
Publicado: (2023)

GAN-Based Image Colorization for Self-Supervised Visual Feature Learning
por: Treneska, Sandra, et al.
Publicado: (2022)

Self-supervised learning of cell type specificity from immunohistochemical images
por: Murphy, Michael, et al.
Publicado: (2022)

Robust Keypoint Detection and Matching on Fisheye Images by Self-Supervised Learning
por: Tian, Wei, et al.
Publicado: (2022)

Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns
por: Najafian, Keyhan, et al.
Publicado: (2023)

Self-Supervised Learning to Detect Key Frames in Videos
por: Yan, Xiang, et al.
Publicado: (2020)

Self-supervised representation learning for surgical activity recognition
por: Paysan, Daniel, et al.
Publicado: (2021)

Heuristic Attention Representation Learning for Self-Supervised Pretraining
por: Tran, Van Nhiem, et al.
Publicado: (2022)

Deciphering the language of antibodies using self-supervised learning
por: Leem, Jinwoo, et al.
Publicado: (2022)

Graph Multihead Attention Pooling with Self-Supervised Learning
por: Wang, Yu, et al.
Publicado: (2022)

Malicious Traffic Identification with Self-Supervised Contrastive Learning
por: Yang, Jin, et al.
Publicado: (2023)

Survey on Self-Supervised Learning: Auxiliary Pretext Tasks and Contrastive Learning Methods in Imaging
por: Albelwi, Saleh
Publicado: (2022)

Self-monitored versus supervised walking programs for older adults
por: Hsu, Ching-Yi, et al.
Publicado: (2021)

Self-supervised clustering of mass spectrometry imaging data using contrastive learning
por: Hu, Hang, et al.
Publicado: (2021)

Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
por: Tarling, Penny, et al.
Publicado: (2022)

Self-Supervised Learning Framework toward State-of-the-Art Iris Image Segmentation
por: Putri, Wenny Ramadha, et al.
Publicado: (2022)

Self-supervised learning methods and applications in medical imaging analysis: a survey
por: Shurrab, Saeed, et al.
Publicado: (2022)

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations
por: Mascolini, Alessio, et al.
Publicado: (2022)

Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping
por: Ogidi, Franklin C., et al.
Publicado: (2023)

Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning
por: Nartey, Obed Tettey, et al.
Publicado: (2020)

Self-Supervised Chinese Ontology Learning from Online Encyclopedias
por: Hu, Fanghuai, et al.
Publicado: (2014)

Entorhinal mismatch: A model of self-supervised learning in the hippocampus
por: Santos-Pata, Diogo, et al.
Publicado: (2021)

Entorhinal mismatch: A model of self-supervised learning in the hippocampus
por: Santos-Pata, Diogo, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_0rg5nup0uhicq0b7e59j843lqs