RootPainter Paper Project Files

NIAID Data Ecosystem2026-05-02 收录

数据链接：

https://zenodo.org/record/8037033 数据链接链接失效反馈

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资源简介：

Additional project files related to the paper 'RootPainter: deep learning segmentation of biological images with corrective annotation'.

创建时间：

2024-05-21

MEDISEG

生物图像分割

药物识别

MEDISEG是由伦敦大学圣乔治学院与帝国理工学院联合构建的药品图像分割数据集，旨在解决现实场景中药物识别因光照、遮挡和多药混杂导致的误差问题。该数据集包含8,262张图像，涵盖32种药片类型，提供精细的实例分割标注，覆盖单药片至多药片混杂（最多13片/帧）的复杂场景。数据通过iPhone 12 Pro Max采集，模拟真实用药环境中的光照变化和剂量盒遮挡，并采用COCO格式标注。其创新性在于首次

arXiv2026-03-11 更新1010

Beetle part segmentation dataset, Butterfly trait segmentation dataset

生物图像分割

昆虫形态学特征

Beetle part segmentation dataset是一个用于甲虫部分分割的数据集，Butterfly trait segmentation dataset是一个用于蝴蝶特征分割的数据集。

github2025-02-01 更新120

Mouse (noise 0) dataset for microscopy image denoising and segmentation benchmark as used in DenoiSeg paper (https://arxiv.org/abs/2005.02987)

显微图像去噪

生物图像分割

Mouse n0 dataset for microscopy image denoising and segmentation benchmark as used in DenoiSeg paper (https://arxiv.org/abs/2005.02987)

Zenodo2021-08-04 更新40

Sashimi: A toolkit for facilitating high-throughput organismal image segmentation using deep learning

生物图像分割

深度学习图像分析

1. Digitized specimens are an indispensable resource for rapidly acquiring big datasets and typically must be preprocessed prior to conducting analyses. One crucial image preprocessing step in any ima

NIAID Data Ecosystem210

Comparison of the 2D segmentation quality.

生物图像分割

质量评估

Comparison of the segmentation quality on 2D benchmark images from the Broad Bioimage Benchmark Collection (BBBC006v1). For quality assessment we used the Rand Index (RI), the Jaccard Index (JI), the

NIAID Data Ecosystem60

RootPainter Paper Project Files

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