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English(EN) PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images

作者撤回一项关于乳腺癌预测的研究论文

一篇题为 PathoHR 的研究论文已被其作者 Zeyu Zhang 撤回。该论文提出了一种使用高分辨率病理图像进行乳腺癌生存预测的新型流程。它整合了 Vision Transformer (ViT) 以增强特征提取,并评估了用于表示学习的相似性度量。该研究旨在证明,增强后的小图像块可以实现与原始大图像块相当或更好的预测精度,同时降低计算成本。 AI

影响 这项关于人工智能驱动的癌症预测的已撤回研究,凸显了该领域科学发现的迭代性以及有时会被撤回的本质。

排序理由 该集群包含一篇已被撤回的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

作者撤回一项关于乳腺癌预测的研究论文

本文如何被排名

Signal score
11 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群包含一篇已被撤回的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yang Luo, Shiru Wang, Jun Liu, Jiaxuan Xiao, Rundong Xue, Zeyu Zhang, Hao Zhang, Yu Lu, Yang Zhao, Yutong Xie ·

    PathoHR:高分辨率病理图像上的乳腺癌生存预测

    arXiv:2503.17970v2 Announce Type: replace-cross Abstract: Breast cancer survival prediction in computational pathology presents a remarkable challenge due to tumor heterogeneity. For instance, different regions of the same tumor in the pathology image can show distinct morphologi…