Computer-assisted technologies in lung cancer diagnosis and staging

Irena Zavrazhina; Leonid P. Yaroslavsky

doi:10.1016/0304-3835(94)90102-3

Computer-assisted technologies in lung cancer diagnosis and staging

Irena Zavrazhina, Leonid P. Yaroslavsky^*

^*Corresponding author for this work

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

Abstract

A paradigm for digital image processing in radiological diagnosis and an appropriate algorithmic instrumentation toolset for the implementation of image processing methods on inexpensive computers and workstations are outlined briefly. Examples of computer-assisted technologies for lung cancer differential diagnosis are given that exhibit considerable increase in diagnostic accuracy. Multimodal image processing and data fusion in lung cancer diagnosis are discussed and a 'road map' for examining lung cancer patients is suggested on the basis of clinical experience in the use of different modalities for lung cancer staging.

Original language	English
Pages (from-to)	191-200
Number of pages	10
Journal	Cancer Letters
Volume	77
Issue number	2-3
DOIs	https://doi.org/10.1016/0304-3835(94)90102-3
State	Published - 15 Mar 1994
Externally published	Yes

Keywords

Computer-assisted radiology
Data fusion
Image processing
Lung cancer staging

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/0304-3835(94)90102-3

Cite this

@article{90928cac95f649d2995e6ecc4d13b011,

title = "Computer-assisted technologies in lung cancer diagnosis and staging",

abstract = "A paradigm for digital image processing in radiological diagnosis and an appropriate algorithmic instrumentation toolset for the implementation of image processing methods on inexpensive computers and workstations are outlined briefly. Examples of computer-assisted technologies for lung cancer differential diagnosis are given that exhibit considerable increase in diagnostic accuracy. Multimodal image processing and data fusion in lung cancer diagnosis are discussed and a 'road map' for examining lung cancer patients is suggested on the basis of clinical experience in the use of different modalities for lung cancer staging.",

keywords = "Computer-assisted radiology, Data fusion, Image processing, Lung cancer staging",

author = "Irena Zavrazhina and Yaroslavsky, {Leonid P.}",

note = "Funding Information: The authorsg ratefullya cknowledgeth e support of Dr. F. Welch of the National CancerI nstitute, NIH, and of Dr. M. Eden of the National Center for ResearchR esources,N IH. The authorsa lso wish to thank Dr. S. Srivastavao f the National Cancer Institute, NIH, for the opportunity we were given to present this research at the workshop{\textquoteleft}C omputerA pplicationf or Early Detection and Stagingo f Cancer.{\textquoteright}",

year = "1994",

month = mar,

day = "15",

doi = "10.1016/0304-3835(94)90102-3",

language = "אנגלית",

volume = "77",

pages = "191--200",

journal = "Cancer Letters",

issn = "0304-3835",

publisher = "Elsevier Ireland Ltd",

number = "2-3",

}

TY - JOUR

T1 - Computer-assisted technologies in lung cancer diagnosis and staging

AU - Zavrazhina, Irena

AU - Yaroslavsky, Leonid P.

N1 - Funding Information: The authorsg ratefullya cknowledgeth e support of Dr. F. Welch of the National CancerI nstitute, NIH, and of Dr. M. Eden of the National Center for ResearchR esources,N IH. The authorsa lso wish to thank Dr. S. Srivastavao f the National Cancer Institute, NIH, for the opportunity we were given to present this research at the workshop‘C omputerA pplicationf or Early Detection and Stagingo f Cancer.’

PY - 1994/3/15

Y1 - 1994/3/15

N2 - A paradigm for digital image processing in radiological diagnosis and an appropriate algorithmic instrumentation toolset for the implementation of image processing methods on inexpensive computers and workstations are outlined briefly. Examples of computer-assisted technologies for lung cancer differential diagnosis are given that exhibit considerable increase in diagnostic accuracy. Multimodal image processing and data fusion in lung cancer diagnosis are discussed and a 'road map' for examining lung cancer patients is suggested on the basis of clinical experience in the use of different modalities for lung cancer staging.

AB - A paradigm for digital image processing in radiological diagnosis and an appropriate algorithmic instrumentation toolset for the implementation of image processing methods on inexpensive computers and workstations are outlined briefly. Examples of computer-assisted technologies for lung cancer differential diagnosis are given that exhibit considerable increase in diagnostic accuracy. Multimodal image processing and data fusion in lung cancer diagnosis are discussed and a 'road map' for examining lung cancer patients is suggested on the basis of clinical experience in the use of different modalities for lung cancer staging.

KW - Computer-assisted radiology

KW - Data fusion

KW - Image processing

KW - Lung cancer staging

UR - http://www.scopus.com/inward/record.url?scp=0028326631&partnerID=8YFLogxK

U2 - 10.1016/0304-3835(94)90102-3

DO - 10.1016/0304-3835(94)90102-3

M3 - מאמר

AN - SCOPUS:0028326631

VL - 77

SP - 191

EP - 200

JO - Cancer Letters

JF - Cancer Letters

SN - 0304-3835

IS - 2-3

ER -

Computer-assisted technologies in lung cancer diagnosis and staging

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this