ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features

27 December 2023

Papers citing "ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features"

4 / 4 papers shown

Title
A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation Hanxi Li Zhengxun Zhang Hao Chen Lin Wu Bo Li Deyin Liu Mingwen Wang 50 2 0 29 Feb 2024
Region and Spatial Aware Anomaly Detection for Fundus Images Jingqi Niu Shiwen Dong Qinji Yu K. Dang Xiucai Ding 11 2 0 07 Mar 2023
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 118 128 0 30 Sep 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 300 75,834 0 18 May 2015