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Cai et al., 2018 - Google Patents

Accurate weakly supervised deep lesion segmentation on CT scans: Self-paced 3D mask generation from RECIST

Cai et al., 2018

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Document ID
664997806240242605
Author
Cai J
Tang Y
Lu L
Harrison A
Yan K
Xiao J
Yang L
Summers R
Publication year
Publication venue
arXiv preprint arXiv:1801.08614

External Links

Snippet

Volumetric lesion segmentation via medical imaging is a powerful means to precisely assess multiple time-point lesion/tumor changes. Because manual 3D segmentation is prohibitively time consuming and requires radiological experience, current practices rely on …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06T2207/30004—Biomedical image processing
    • G06T2207/30048—Heart; Cardiac
    • G—PHYSICS
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    • G06T7/0014—Biomedical image inspection using an image reference approach
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    • G06T2207/10088—Magnetic resonance imaging [MRI]
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    • G06T2207/10104—Positron emission tomography [PET]
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    • G06T2207/00—Indexing scheme for image analysis or image enhancement
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