2024-12-23-islam24a.md

title	abstract	layout	series	publisher	issn	id	month	tex_title	firstpage	lastpage	page	order	cycles	bibtex_author	author	date	address	container-title	volume	genre	issued	pdf	extras
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions	In this paper, we present a new approach for uncertainty-aware retinal layer segmentation in Optical Coherence Tomography (OCT) scans using probabilistic signed distance functions (SDF). Traditional pixel-wise and regression-based methods primarily encounter difficulties in precise segmentation and lack of geometrical grounding respectively. To address these shortcomings, our methodology refines the segmentation by predicting a signed distance function (SDF) that effectively parameterizes the retinal layer shape via level set. We further enhance the framework by integrating probabilistic modeling, applying Gaussian distributions to encapsulate the uncertainty in the shape parameterization. This ensures a robust representation of the retinal layer morphology even in the presence of ambiguous input, imaging noise, and unreliable segmentations. Both quantitative and qualitative evaluations demonstrate superior performance when compared to other methods. Additionally, we conducted experiments on artificially distorted datasets with various noise types—shadowing, blinking, speckle, and motion—common in OCT scans to showcase the effectiveness of our uncertainty estimation. Our findings demonstrate the possibility of obtaining reliable segmentation of retinal layers, as well as an initial step towards the characterization of layer integrity, a key biomarker for disease progression. Our code is available at \url{https://github.com/niazoys/RLS_PSDF}.	inproceedings	Proceedings of Machine Learning Research	PMLR	2640-3498	islam24a	0	Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions	672	693	672-693	672	false	Islam, Mohammad Mohaiminul and de Vente, Coen and Liefers, Bart and Klaver, Caroline and Bekkers, Erik J and S\'anchez, Clara I.	given family Mohammad Mohaiminul Islam given family prefix Coen Vente de given family Bart Liefers given family Caroline Klaver given family Erik J Bekkers given family Clara I. Sánchez	2024-12-23		Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning	250	inproceedings	date-parts 2024 12 23	https://raw.githubusercontent.com/mlresearch/v250/main/assets/islam24a/islam24a.pdf