five

Experts fail to reliably detect AI-generated histological data

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/13887355
下载链接
链接失效反馈
官方服务:
资源简介:
This repository contains material related to the paper "Experts fail to reliably detect AI-generated histological data": Dreambooth parameters (dreambooth_parameters.zip) Images displayed during the study (images.zip) Data collected during the survey (results-survey.xlsx) R Code to reproduce results and figures (analysis_code.zip) Please find our associated work here: Hartung, J., Reuter, S., Kulow, V.A., Fähling, M., Spreckelsen, C., and Mrowka, R. (2024). Experts fail to reliably detect AI-generated histological data. Sci Rep 14, 28677. https://doi.org/10.1038/s41598-024-73913-8.
创建时间:
2024-11-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作