English(EN) Initialization and Stopping Tolerance in CPU Dermoscopic Segmentation

皮肤镜图像分割研究探讨初始化和停止容差

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

一篇新研究论文探讨了轮廓初始化和停止容差对基于CPU的皮肤镜图像分割性能的影响。该研究利用了scikit-image在ISIC 2017数据集上的Chan-Vese实现，比较了Otsu阈值法、棋盘格、圆盘和默认设置等多种初始化方法。结果表明，在默认容差下，Otsu初始化相比棋盘格初始化提高了平均Dice分数，但收紧容差会降低这一优势，并突显了某些初始化方法在提前停止方面存在的问题。 AI

排序理由一篇在arXiv上发表的研究论文，详细介绍了一种新的图像分割方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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arXiv cs.CV TIER_1 English(EN) · Wenhao Xu, Yixian Kong, Ting Pan, Feilong Wang, Changwei Wang · 2026-10-07 04:00

CPU皮肤镜分割中的初始化和停止容差

arXiv:2609.25685v2 Announce Type: replace Abstract: Contour initialization and numerical stopping can jointly affect the evaluation of active-contour segmentation. We examine their interaction using the open-source scikit-image Chan-Vese implementation on a resized ISIC 2017 mirr…

本文如何被排名

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CPU皮肤镜分割中的初始化和停止容差

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