The ConerstoneJS library can be a complex tool when you have a first look. However, there are plenty of articles available that may help you on that. Articles such as "PACS Integration Manually", "Using CornerstoneJS and Orthanc to Support Deep Learning Projects", or "Medical Imaging Downloader for CornerstoneJS and Orthanc" can be of great support for you. In this community, you can also follow similar questions when using a new tool such as the CornerstoneJS [3, 4] for medical imaging [1, 2]. Note that integration of these tools might change from browser to mobile environments [4, 5]. Moreover, be free to follow my work (@FMCalisto) and repositories (e.g., BreastScreening, MIDA and MIMBCD-UI), if you want to take a look at several examples using the ConerstoneJS library.

References

[1] Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, and Jacinto C. Nascimento. 2022. BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions. Artificial Intelligence in Medicine 127, 102285. https://doi.org/10.1016/j.artmed.2022.102285

[2] Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, and Jacinto C. Nascimento. 2021. Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification. International Journal of Human-Computer Studies 150, 102607. https://doi.org/10.1016/j.ijhcs.2021.102607

[3] Francisco Maria Calisto, Nuno Nunes, and Jacinto C. Nascimento. 2020. BreastScreening. Proceedings of the International Conference on Advanced Visual Interfaces. https://doi.org/10.1145/3399715.3399744

[4] Francisco M. Calisto, Alfredo Ferreira, Jacinto C. Nascimento, and Daniel Gonçalves. 2017. Towards Touch-Based Medical Image Diagnosis Annotation. Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces. https://doi.org/10.1145/3132272.3134111

[5] Francisco Maria Calisto. 2017. Medical Imaging Multimodality Breast Cancer Diagnosis User Interface. Master Thesis. https://doi.org/10.13140/RG.2.2.15187.02084