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TeachMe：一个用于标注腹部淋巴结的基于网络的教学系统。

TeachMe: a web-based teaching system for annotating abdominal lymph nodes.

机构信息

Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, 610065, People's Republic of China.

Gastrointestinal Surgery Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.

出版信息

Sci Rep. 2022 Mar 25;12(1):5167. doi: 10.1038/s41598-022-08958-8.

DOI:10.1038/s41598-022-08958-8
PMID:35338176
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8956716/
Abstract

The detection and characterization of lymph nodes through interpreting abdominal medical images are significant for diagnosing and treating colorectal cancer recurrence. However, interpreting abdominal medical images manually is labor-intensive and time-consuming. The related radiology education has many limitations as well. In this context, we seek to build an extensive collection of abdominal medical images with ground truth labels for lymph nodes recognition research and help junior doctors to train their interpretation skills. Therefore, we develop TeachMe, which is a web-based teaching system for annotating abdominal lymph nodes. The system has a three-level annotation-review workflow to construct an expert database of abdominal lymph nodes and a feedback mechanism helping junior doctors to learn the tricks of interpreting abdominal medical images. TeachMe's functionalities make itself stand out against other platforms. To validate these functionalities, we invite a medical team from Gastrointestinal Surgery Center, West China Hospital, to participate in the data collection workflow and experience the feedback mechanism. With the help of TeachMe, an expert dataset of abdominal lymph nodes has been created and an automated detection model for abdominal lymph nodes with incredible performances has been proposed. Moreover, through three rounds of practicing via TeachMe, our junior doctors' interpretation skills have been improved.

摘要

通过解读腹部医学图像来检测和描述淋巴结对于诊断和治疗结直肠癌复发至关重要。然而，手动解读腹部医学图像既费时又费力。相关的放射学教育也有许多局限性。在这种情况下，我们寻求建立一个包含腹部医学图像和淋巴结识别研究真实标签的广泛数据集，并帮助初级医生训练他们的解读技能。因此，我们开发了 TeachMe，这是一个用于标注腹部淋巴结的基于网络的教学系统。该系统具有三级标注-审核工作流程，用于构建腹部淋巴结的专家数据库，并具有反馈机制，帮助初级医生学习解读腹部医学图像的技巧。TeachMe 的功能使其在其他平台中脱颖而出。为了验证这些功能，我们邀请了华西医院胃肠外科中心的一个医疗团队参与到数据收集工作流程中，并体验反馈机制。在 TeachMe 的帮助下，我们创建了一个腹部淋巴结的专家数据集，并提出了一个具有出色性能的腹部淋巴结自动检测模型。此外，通过通过 TeachMe 进行三轮练习，我们的初级医生的解读技能得到了提高。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/6a53fac54961/41598_2022_8958_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/8788000ba72c/41598_2022_8958_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/b808c6a778e3/41598_2022_8958_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/f529b148cd0e/41598_2022_8958_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/f7e3e6359a7a/41598_2022_8958_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/c3c50bcf2724/41598_2022_8958_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/99d5c15045a8/41598_2022_8958_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/4ef8d6c179b0/41598_2022_8958_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01d/8956716/09dff128ca18/41598_2022_8958_Fig12_HTML.jpg

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