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Hayakawa et al., 2021 - Google Patents

Computational nuclei segmentation methods in digital pathology: a survey

Hayakawa et al., 2021

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Document ID
11251871471662336563
Author
Hayakawa T
Prasath V
Kawanaka H
Aronow B
Tsuruoka S
Publication year
Publication venue
Archives of Computational Methods in Engineering

External Links

Snippet

Pathology is an important field in modern medicine. In particular, the step of nuclei segmentation is an important step in cancer analysis, diagnosis, and grading because cancer analysis, diagnosis, classification, and grading are highly dependent on the quality …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
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    • G06T7/0002—Inspection of images, e.g. flaw detection
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    • G06T2207/20092—Interactive image processing based on input by user
    • G06T2207/20104—Interactive definition of region of interest [ROI]
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    • G06K9/46—Extraction of features or characteristics of the image
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    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
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