Image collection and annotation platforms to establish a multi-source database of oral lesions.
Image collection and annotation platforms to establish a multi-source database of oral lesions.
复制标题
图像采集和标注平台，建立口腔病变多源数据库。
DOI：
10.1111/odi.14206
复制
发表时间：
2023
期刊：
影响因子：
3.8
通讯作者：
Rajendran S
中科院分区：
文献类型：
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作者：
Rajendran S
目的描述一个口腔病变图像采集和注释平台的开发，该平台建立了一个多源的国际口腔病变图像数据集，以促进病变自动分类算法的开发。此外，我们开发了一个定制的注释工具，也是一个用于系统地对图像进行注释的网络界面，以构建丰富的临床标签数据集。结果图像库存储了通过MeMoSA®Upload收集的2474张口腔病变的图像，包括口腔癌、口腔潜在恶性疾病和其他口腔病变。七位口腔医学专家在MeMoSA®Annotate上对800张图像进行了注释，以标记病变并收集临床标签。根据病变类型(64.3%-100%)，所有需要转诊进行癌症治疗/监测的病变的转诊决策的敏感度为中到高(64.3%-100%)。该数据库可以加速AI算法的改进，从而促进高危口腔病变的早期检测。
ObjectiveTo describe the development of a platform for image collection and annotation that resulted in a multi‐sourced international image dataset of oral lesions to facilitate the development of automated lesion classification algorithms.Materials and MethodsWe developed a web‐interface, hosted on a web server to collect oral lesions images from international partners. Further, we developed a customised annotation tool, also a web‐interface for systematic annotation of images to build a rich clinically labelled dataset. We evaluated the sensitivities comparing referral decisions through the annotation process with the clinical diagnosis of the lesions.ResultsThe image repository hosts 2474 images of oral lesions consisting of oral cancer, oral potentially malignant disorders and other oral lesions that were collected through MeMoSA®UPLOAD. Eight‐hundred images were annotated by seven oral medicine specialists on MeMoSA®ANNOTATE, to mark the lesion and to collect clinical labels. The sensitivity in referral decision for all lesions that required a referral for cancer management/surveillance was moderate to high depending on the type of lesion (64.3%–100%).ConclusionThis is the first description of a database with clinically labelled oral lesions. This database could accelerate the improvement of AI algorithms that can promote the early detection of high‐risk oral lesions.