García Ocaña et al., 2020 - Google Patents
Medical image detection using deep learningGarcía Ocaña et al., 2020
- Document ID
- 12072037345799614843
- Author
- García Ocaña M
- López-Linares Román K
- Lete Urzelai N
- González Ballester M
- Macía Oliver I
- Publication year
- Publication venue
- Deep Learning in Healthcare: Paradigms and Applications
External Links
Snippet
This chapter provides an introduction to deep learning-based systems for object detection and their applications in medical image analysis. First, common deep learning architectures for image detection are briefly explained, including scanning-based methods and end-to …
- 238000001514 detection method 0 title abstract description 105
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06T2207/30004—Biomedical image processing
- G06T2207/30048—Heart; Cardiac
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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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
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/20112—Image segmentation details
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