Computer modelation of lung cancer cell populations: Light microscopic cell nucleus structure image analysis

J. Berzins; T. Freivalds; I. Springis; I. Zitare

doi:10.1117/12.152863

Computer modelation of lung cancer cell populations: Light microscopic cell nucleus structure image analysis

J. Berzins
, T. Freivalds
, I. Springis
, I. Zitare

University of Latvia

Zinātniskās darbības rezultāts: Devums žurnālam › Konferences zinātniskais raksts › koleģiāli recenzēts

Kopsavilkums

The lung cancer cell nuclei light microscopic image storing was performed in a computer database as a 32 bit number in 96 patients operated on lung cancer in order to characterize the differences among various histological forms, to find out the nuclear feature combinations for them and to divide the existing heterogeneous cell population into subpopulations displaying variable morphology and sensitivity to anticancer agents.

Oriģinālvaloda	Angļu
Lapas (no-līdz)	503-510
Lapu skaits	8
Žurnāls	Proceedings of SPIE - The International Society for Optical Engineering
Sējums	1899
DOIs	https://doi.org/10.1117/12.152863
Publikācijas statuss	Publicēts - 8 sept. 1993
Pasākums	Medical Imaging 1993: PACS Design and Evaluation - Newport Beach, Amerikas Savienotās Valstis Ilgums: 14 febr. 1993 → 19 febr. 1993

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title = "Computer modelation of lung cancer cell populations: Light microscopic cell nucleus structure image analysis",

abstract = "The lung cancer cell nuclei light microscopic image storing was performed in a computer database as a 32 bit number in 96 patients operated on lung cancer in order to characterize the differences among various histological forms, to find out the nuclear feature combinations for them and to divide the existing heterogeneous cell population into subpopulations displaying variable morphology and sensitivity to anticancer agents.",

author = "J. Berzins and T. Freivalds and I. Springis and I. Zitare",

year = "1993",

month = sep,

day = "8",

doi = "10.1117/12.152863",

language = "English",

volume = "1899",

pages = "503--510",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

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Computer modelation of lung cancer cell populations: Light microscopic cell nucleus structure image analysis. / Berzins, J.; Freivalds, T.; Springis, I. u.c.
(gadā): Proceedings of SPIE - The International Society for Optical Engineering, Sēj. 1899, 08.09.1993, lpp. 503-510.

Zinātniskās darbības rezultāts: Devums žurnālam › Konferences zinātniskais raksts › koleģiāli recenzēts

TY - JOUR

T1 - Computer modelation of lung cancer cell populations

T2 - Medical Imaging 1993: PACS Design and Evaluation

AU - Berzins, J.

AU - Freivalds, T.

AU - Springis, I.

AU - Zitare, I.

PY - 1993/9/8

Y1 - 1993/9/8

N2 - The lung cancer cell nuclei light microscopic image storing was performed in a computer database as a 32 bit number in 96 patients operated on lung cancer in order to characterize the differences among various histological forms, to find out the nuclear feature combinations for them and to divide the existing heterogeneous cell population into subpopulations displaying variable morphology and sensitivity to anticancer agents.

AB - The lung cancer cell nuclei light microscopic image storing was performed in a computer database as a 32 bit number in 96 patients operated on lung cancer in order to characterize the differences among various histological forms, to find out the nuclear feature combinations for them and to divide the existing heterogeneous cell population into subpopulations displaying variable morphology and sensitivity to anticancer agents.

UR - https://www.scopus.com/pages/publications/85075902974

U2 - 10.1117/12.152863

DO - 10.1117/12.152863

M3 - Conference article

AN - SCOPUS:85075902974

SN - 0277-786X

VL - 1899

SP - 503

EP - 510

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

Y2 - 14 February 1993 through 19 February 1993

ER -

Computer modelation of lung cancer cell populations: Light microscopic cell nucleus structure image analysis

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