Search Results for author:
Found 5 papers, 4 papers with code
Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography
We analysed segmentation agreement (AUC, Dice) and choroid metrics agreement (Pearson, Spearman, mean absolute error (MAE)) in internal and external test sets.
An open-source deep learning algorithm for efficient and fully-automatic analysis of the choroid in optical coherence tomography
Results: DeepGPET achieves excellent agreement with GPET on data from 3 clinical studies (AUC=0. 9994, Dice=0. 9664; Pearson correlation of 0. 8908 for choroidal thickness and 0. 9082 for choroidal area), while reducing the mean processing time per image on a standard laptop CPU from 34. 49s ($\pm$15. 09) using GPET to 1. 25s ($\pm$0. 10) using DeepGPET.
Evaluation of an automated choroid segmentation algorithm in a longitudinal kidney donor and recipient cohort
Significant associations were mostly stronger with automated CT (eGFR P<0. 001, creatinine P=0. 004, urea P=0. 04) compared to manual CT (eGFR P=0. 002, creatinine P=0. 01, urea P=0. 03).
Detecting Deforestation from Sentinel-1 Data in the Absence of Reliable Reference Data
Large and small scale deforestation across the globe is threatening the stability of our climate, forest biodiversity, and therefore the preservation of fragile ecosystems and our natural habitat as a whole.
Edge Tracing using Gaussian Process Regression
Our edge-based segmentation algorithm models an edge of interest using Gaussian process regression and iteratively searches the image for edge pixels in a recursive Bayesian scheme.
