Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Diabetes Research"
DOI: 10.1155/2022/4612554
Abstract: Objectives The foveal avascular zone (FAZ) is a biomarker for quantifying diabetic macular ischemia (DMI), to automate the identification and quantification of the FAZ in DMI, using an improved U-Net convolutional neural network (CNN) and… read more here.
Keywords: improved net; cnn; octa images; model ... See more keywords
The big warp: Registration of disparate retinal imaging modalities and an example overlay of ultrawide-field photos and en-face OCTA images
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0284905
Abstract: Purpose To develop an algorithm and scripts to combine disparate multimodal imaging modalities and show its use by overlaying en-face optical coherence tomography angiography (OCTA) images and Optos ultra-widefield (UWF) retinal images using the Fiji… read more here.
Keywords: optos uwf; octa images; face octa; imaging modalities ... See more keywords
Optical Coherence Tomography Angiography of the Intestine: How to Prevent Motion Artifacts in Open and Laparoscopic Surgery?
Sign Up to like & getrecommendations! Published in 2023 at "Life"
DOI: 10.3390/life13030705
Abstract: (1) Introduction. The problem that limits the intraoperative use of OCTA for the intestinal circulation diagnostics is the low informative value of OCTA images containing too many motion artifacts. The aim of this study is… read more here.
Keywords: motion artifacts; octa images; laparoscopic surgery;