SenseCare: a research platform for medical image informatics and interactive 3D visualization

SenseCare provides a range of AI toolkits for different tasks, including image segmentation, registration, lesion and landmark detection from various image modalities ranging from radiology to pathology. It also facilitates the data annotation and model training processes, which makes it easier for clinical researchers to develop and deploy customized AI models. In addition, it is clinic-oriented and supports various clinical applications such as diagnosis and surgical planning for lung cancer, liver tumor, coronary artery disease, etc. By simplifying AI-based medical image analysis, SenseCare has a potential to promote clinical research in a wide range of disease diagnosis and treatment applications.

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Publication Details

Journal
Frontiers in Radiology
Published
2024-11-21
DOI
https://doi.org/10.3389/fradi.2024.1460889
Citations
9
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
3.13
Controls
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article

SenseCare: a research platform for medical image informatics and interactive 3D visualization

Qi Duan, Shaoting Zhang, Guotai Wang, Shen Tian
9 citations
Frontiers in Radiology
AI in cancer detection
3.13
article

SenseCare: a research platform for medical image informatics and interactive 3D visualization

Qi Duan, Shaoting Zhang, Guotai Wang, Shen Tian
article en
9 citations

Abstract

SenseCare provides a range of AI toolkits for different tasks, including image segmentation, registration, lesion and landmark detection from various image modalities ranging from radiology to pathology. It also facilitates the data annotation and model training processes, which makes it easier for clinical researchers to develop and deploy customized AI models. In addition, it is clinic-oriented and supports various clinical applications such as diagnosis and surgical planning for lung cancer, liver tumor, coronary artery disease, etc. By simplifying AI-based medical image analysis, SenseCare has a potential to promote clinical research in a wide range of disease diagnosis and treatment applications.

Frontiers in RadiologyVol. 4
University of Electronic Science and Technology of China (CN), Group Sense (China) (CN)
Openalex Percentile: Top 7%
AI in cancer detection
3.13
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