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TUTCRIS

Supervised method for cell counting from bright field focus stacks

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Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
KustantajaIEEE
Sivut391-394
Sivumäärä4
ISBN (painettu)9781479923502
DOI - pysyväislinkit
TilaJulkaistu - 15 kesäkuuta 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING -
Kesto: 1 tammikuuta 1900 → …

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Nimi
ISSN (painettu)1945-7928

Conference

ConferenceIEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING
Ajanjakso1/01/00 → …

Tiivistelmä

We present a novel method for cell counting using bright field focus stacks. Our method is based on the use of supervised learning and out-of-focus appearance of cells. Logistic regression was used for classification with intensity values of 25 focal planes as features. Binary erosion with a large circular structuring element was applied as post-processing step. With this simple method we obtained mean F\-score of 0.87 for cell counting with 12 test images, including images of extremely dense populations. The most important features were obtained from out-of-focus images. Thus, we conclude that using several focal planes provides valuable intensity information for cell counting from bright field microscopy.

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