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Ghoshal et al., 2019 - Google Patents

Estimating uncertainty in deep learning for reporting confidence to clinicians when segmenting nuclei image data

Ghoshal et al., 2019

Document ID
7553313764990240652
Author
Ghoshal B
Tucker A
Sanghera B
Wong W
Publication year
Publication venue
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)

External Links

Snippet

Deep Learning, which involves powerful black box predictors, has achieved a state-of-the- art performance in medical image analysis such as segmentation and classification for diagnosis. However, in spite of these successes, these methods focus exclusively on …
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Classifications

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    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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