An Automated Pathological Class Level Annotation System for Volumetric Brain Images
We introduce an automated, pathological class level annotation system for medical volumetric brain images. While much of the earlier work has mainly focused on annotating regions of interest in medical images, our system does not require annotated region level training data nor assumes perfect segme...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2012
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2990 https://ink.library.smu.edu.sg/context/sis_research/article/3990/viewcontent/amia_2012_symp_1201.pdf |
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| Institution: | Singapore Management University |
| Language: | English |