Computer Aided Diagnosis (CAD) systems are adopting advancements at the forefront of computer vision and machine learning towards assisting medical experts with providing faster diagnoses. The success of CAD systems heavily relies on the availability of high-quality annotated data. Towards supporting the annotation process among teams of medical experts, we present a web-based platform developed for distributed annotation of medical images. We capitalize on the HTML5 canvas to allow for medical experts to quickly perform segmentation of regions of interest. Experimental evaluation of the proposed platform show a significant reduction in the time required to perform the annotation of abdominal computerized tomography images. Furthermore, we evaluate the relationship between the size of the harvested regions and the quality of the annotations. Finally, we present additional functionality of the developed platform for the closer examination of 3D point clouds for kidney cancer.
|Original language||English (US)|
|Title of host publication||Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and 2nd International Workshop, LABELS 2017 Held in Conjunction with MICCAI 2017, Proceedings|
|Editors||Tal Arbel, M. Jorge Cardoso|
|Number of pages||10|
|State||Published - 2017|
|Event||6th Joint International Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017 and 2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017 held in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017 - Quebec City, Canada|
Duration: Sep 10 2017 → Sep 14 2017
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||6th Joint International Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017 and 2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017 held in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017|
|Period||9/10/17 → 9/14/17|
Bibliographical noteFunding Information:
Acknowledgments. We thank Maxwell Fite and Stamatios Morellas for their expertise on heuristic evaluation, Drs. Christopher Weight, Niranjan Sathianathen, and Suprita Krishna for their feedback on the initial development process, and Samit Roy, Meera Sury, and Michael Tradewell for annotations completed thus far. “‘This material is partially based upon work supported by the National Science Foundation through grants #CNS-0934327, #CNS-1039741, #SMA-1028076, #CNS-1338042, #CNS-1439728, #OISE-1551059, and #CNS-1514626.”’
© 2017, Springer International Publishing AG.