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Chen et al., 2024 - Google Patents

Segmentation of overlapping cells in cervical cytology images: A survey

Chen et al., 2024

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Document ID
4494806819065372267
Author
Chen E
Ting H
Chuah J
Zhao J
Publication year
Publication venue
IEEE Access

External Links

Snippet

Pap smear testing is crucial for early diagnosis of cervical cancer, but cell overlapping poses a significant challenge to diagnostic accuracy, as improper processing of overlapping cells can lead to misclassification. While significant research efforts have been devoted to …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/46—Extraction of features or characteristics of the image
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06T2207/20112—Image segmentation details
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G06K9/34—Segmentation of touching or overlapping patterns in the image field
    • G06K9/342—Cutting or merging image elements, e.g. region growing, watershed, clustering-based techniques
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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
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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