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Hou et al., 2021 - Google Patents

Semantic segmentation of vertebrate microfossils from computed tomography data using a deep learning approach

Hou et al., 2021

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Document ID
11721746600323014397
Author
Hou Y
Canul-Ku M
Cui X
Hasimoto-Beltran R
Zhu M
Publication year
Publication venue
Journal of Micropalaeontology

External Links

Snippet

Vertebrate microfossils have broad applications in evolutionary biology and stratigraphy research areas such as the evolution of hard tissues and stratigraphic correlation. Classification is one of the basic tasks of vertebrate microfossil studies. With the …
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Classifications

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    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
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