An automated gland segmentation and classification method prostate biopsies: an image source-independent approach

Research output: Contribution to journal › Article › Scientific › peer-review

3 Citations (Scopus)

Original language	English
Pages (from-to)	103-113
Journal	Machine Vision and Applications
Volume	26
Issue number	1
DOIs	https://doi.org/10.1007/s00138-014-0650-1
Publication status	Published - 2015
Publication type	A1 Journal article-refereed

Publication forum classification

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title = "An automated gland segmentation and classification method prostate biopsies: an image source-independent approach",

author = "Jouni P{\"a}{\"a}kk{\"o}nen and Niina P{\"a}ivinen and Matti Nyk{\"a}nen and Timo Paavonen",

year = "2015",

doi = "10.1007/s00138-014-0650-1",

language = "English",

volume = "26",

pages = "103--113",

journal = "Machine Vision and Applications",

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T1 - An automated gland segmentation and classification method prostate biopsies: an image source-independent approach

AU - Pääkkönen, Jouni

AU - Päivinen, Niina

AU - Nykänen, Matti

AU - Paavonen, Timo

PY - 2015

Y1 - 2015

U2 - 10.1007/s00138-014-0650-1

DO - 10.1007/s00138-014-0650-1

M3 - Article

SN - 0932-8092

VL - 26

SP - 103

EP - 113

JO - Machine Vision and Applications

JF - Machine Vision and Applications

IS - 1

ER -