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A Deep Learning-based Quality Assessment and Segmentation System with a
  Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography
  Image

A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image

22 July 2021
Yu-Fang Wang
Yiqing Shen
Meng Yuan
Jing Xu
B. Yang
Chicheng Liu
Wenjia Cai
Weijing Cheng
Wei Wang
ArXivPDFHTML

Papers citing "A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image"

10 / 10 papers shown
Title
Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review
Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review
Kejie Chen
Xiaochun Yang
Jing Na
Wenbo Wang
198
0
0
24 Feb 2025
FedLPPA: Learning Personalized Prompt and Aggregation for Federated
  Weakly-supervised Medical Image Segmentation
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation
Li Lin
Yixiang Liu
Jiewei Wu
Pujin Cheng
Zhiyuan Cai
Kenneth K. Y. Wong
Xiaoying Tang
FedML
34
6
0
27 Feb 2024
ProCNS: Progressive Prototype Calibration and Noise Suppression for
  Weakly-Supervised Medical Image Segmentation
ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation
Y. Liu
L. Lin
K. Wong
X. Tang
27
2
0
25 Jan 2024
SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation
SAM-OCTA: Prompting Segment-Anything for OCTA Image Segmentation
Xinrun Chen
Chengliang Wang
Haojian Ning
Shiying Li
Mei Shen
28
5
0
11 Oct 2023
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA
  Image Segmentation Tasks
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation Tasks
Chengliang Wang
Xinrun Chen
Haojian Ning
Shiying Li
34
13
0
21 Sep 2023
Unifying and Personalizing Weakly-supervised Federated Medical Image
  Segmentation via Adaptive Representation and Aggregation
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation
Li Lin
Jiewei Wu
Yixiang Liu
Kenneth K. Y. Wong
Xiaoying Tang
FedML
24
6
0
12 Apr 2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical
  Coherence Tomography Angiography Images
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Bo Qian
Haoxing Chen
Xiangning Wang
Haoxuan Che
Gitaek Kwon
...
Xiaokang Yang
Yiyu Cai
Weiping Jia
Huating Li
Bin Sheng
27
5
0
05 Apr 2023
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time
  Clustering for OCTA Image Quality Assessment
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment
Juntao Chen
Li Lin
Pujin Cheng
Yijin Huang
Xiaoying Tang
19
2
0
20 Dec 2022
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy
  Analysis on OCTA Images
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images
Junlin Hou
Fan Xiao
Jilan Xu
Yuejie Zhang
Haidong Zou
Rui Feng
22
6
0
02 Oct 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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