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Showing 3 of 23 academic articles

Estimating Uncertainty of Geographic Atrophy Segmentations with Bayesian Deep Learning

Theodore Spaide, PhD, Anand E. Rajesh, MD, Nayoon Gim, Marian Blazes, MD et al. • Ophthalmology Science (2025)

Purpose: To apply methods for quantifying uncertainty of deep learning segmentation of geographic atrophy (GA). Design: Retrospective analysis of OCT images and model comparison. Participants: One hundred twenty-six eyes from 87 participant...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.xops.2024.100587

DCN-Deeplabv3+: A Novel Road Segmentation Algorithm Based on Improved Deeplabv3+

Hongming Peng, Siyu Xiang, Mingju Chen, Hongyang Li et al. • IEEE Access (2024)

Road segmentation is an important task in the field of semantic segmentation, and the Deeplabv3+ algorithm, which is commonly used for road segmentation, has shortcomings, such as numerous parameters and a tendency to lose detailed informat...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3416468

Deep nested U-structure network with frequency attention for building semantic segmentation

Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu et al. • Scientific Reports (2025)

Abstract The automated segmentation of buildings from remotely sensed imagery has undergone extensive research and application across various industrial domains. Despite this, several challenges persist, including incomplete internal extrac...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-13890-8