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Caballo et al., 2020 - Google Patents

Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence

Caballo et al., 2020

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Document ID
3348453457643032516
Author
Caballo M
Pangallo D
Mann R
Sechopoulos I
Publication year
Publication venue
Computers in biology and medicine

External Links

Snippet

A deep learning (DL) network for 2D-based breast mass segmentation in unenhanced dedicated breast CT images was developed and validated, and its robustness in radiomic feature stability and diagnostic performance compared to manual annotations of multiple …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Classifications

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    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T2207/30068—Mammography; Breast
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    • G06T2207/30048—Heart; Cardiac
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    • G06T2207/10088—Magnetic resonance imaging [MRI]
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    • G06T2207/10084—Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
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    • G06T2207/20112—Image segmentation details
    • G06T2207/20156—Automatic seed setting
    • G—PHYSICS
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