English(EN) Optic Disc Segmentation in Fundus Images: From Classical Image Processing and Deformable Models to Modern AI

视盘分割：从经典方法到视网膜分析中的人工智能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-20 04:00

这篇综述文章详细介绍了眼底图像中视盘分割技术的演变，这是诊断青光眼等疾病的关键步骤。文章追溯了从传统图像处理和可变形模型到现代人工智能驱动的方法（包括深度学习和基于Transformer的方法）的进展。文章强调了诸如边界模糊和域泛化等持续存在的挑战，同时也指出了区域定位和几何约束等原理的持久重要性。 AI

影响全面概述了人工智能在推进用于诊断眼部疾病的医学图像分析方面的作用。

排序理由该条目是发表在arXiv上的关于研究主题的综述论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目是发表在arXiv上的关于研究主题的综述论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.CV TIER_1 English(EN) · Buket D. Barkana · 2026-08-20 04:00

眼盘分割在眼底图像中的应用：从经典图像处理和可变形模型到现代人工智能

arXiv:2608.18367v1 Announce Type: cross Abstract: Accurate localization and segmentation of the optic disc (OD) are important for retinal image analysis and glaucoma assessment, yet remain challenging due to variations in illumination, pathology, vascular interference, and poorly…

本文如何被排名

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眼盘分割在眼底图像中的应用：从经典图像处理和可变形模型到现代人工智能

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