AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development.
The development of medical image analysis algorithm is a complex process including the multiple sub-steps of model training, data visualization, human–computer interaction and graphical user interface (GUI) construction. To accelerate the development process, algorithm developers need a software too...
| Publicado en: | Journal of Digital Imaging Vol. 35; no. 6; pp. 1623 - 1634 |
|---|---|
| Autores principales: | , , , , , , , , , , , |
| Formato: | computer program diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160503240&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160503240 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2022 vid: 35 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 160503240 157710759 160503240 160503240 10.1007/s10278-022-00660-5 160503240 ppf: 1623 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development. aug: au: Zhuang, Mingrui Chen, Zhonghua Wang, Hongkai Tang, Hong He, Jiang Qin, Bobo Yang, Yuxin Jin, Xiaoxian Yu, Mengzhu Jin, Baitao Li, Taijing Kettunen, Lauri affil: School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, 116024, Dalian, China sug: subj: Diagnostic Imaging Evaluation Software Algorithms Software Design Graphical User Interface Human Program Implementation Computer Input Devices Artificial Intelligence Magnetic Resonance Imaging Deep Learning ab: The development of medical image analysis algorithm is a complex process including the multiple sub-steps of model training, data visualization, human–computer interaction and graphical user interface (GUI) construction. To accelerate the development process, algorithm developers need a software tool to assist with all the sub-steps so that they can focus on the core function implementation. Especially, for the development of deep learning (DL) algorithms, a software tool supporting training data annotation and GUI construction is highly desired. In this work, we constructed AnatomySketch, an extensible open-source software platform with a friendly GUI and a flexible plugin interface for integrating user-developed algorithm modules. Through the plugin interface, algorithm developers can quickly create a GUI-based software prototype for clinical validation. AnatomySketch supports image annotation using the stylus and multi-touch screen. It also provides efficient tools to facilitate the collaboration between human experts and artificial intelligent (AI) algorithms. We demonstrate four exemplar applications including customized MRI image diagnosis, interactive lung lobe segmentation, human-AI collaborated spine disc segmentation and Annotation-by-iterative-Deep-Learning (AID) for DL model training. Using AnatomySketch, the gap between laboratory prototyping and clinical testing is bridged and the development of MIA algorithms is accelerated. The software is opened at https://github.com/DlutMedimgGroup/AnatomySketch-Software. pubtype: Academic Journal doctype: computer program diagnostic images equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|