Chest X-Ray Analysis for Computer-Aided Diagnostic

Kim-Thang Le

doi:10.1007/978-3-642-17881-8_29

Chest X-Ray Analysis for Computer-Aided Diagnostic

Kim-Thang Le

Information, Technology (IT) & Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

X-ray is a classical method for diagnosis of some chest diseases. The diseases are curable if they are detected in their early stages. Detection of chest diseases is mostly based on chest X-ray images (CXR). This is a time consuming process. In some cases, medical experts had overlooked the diseases in their first examinations on CXR, and when the images were re-examined, the disease signs could be detected. Furthermore, the number of CXR to examine is numerous and far beyond the capability of available medical staff, especially in developing countries.

A computer-aided diagnosis (CAD) system can mark prospected areas on CXR for careful examination by medical doctors, and can give alarm in the cases that need urgent attention.

This paper reports our continuous work on the development of a CAD system. Some preliminary results for detection of early symptoms of some chest diseases like tuberculosis, cancer, lung collapse, heart failure, etc. are presented

Original language	English
Title of host publication	International Conference on Computer Science and Information Technology-CCSIT 2011
Editors	N Megthanathan, B.K Kaushik, D Nagamalai
Place of Publication	Germany
Publisher	Springer
Pages	300-309
Number of pages	10
Volume	133
ISBN (Electronic)	9783642178818
ISBN (Print)	9783642178801
DOIs	https://doi.org/10.1007/978-3-642-17881-8_29
Publication status	Published - 2011
Event	First International Conference on Computer Science and Information Technology-CCSIT 2011 - Bangalore, India Duration: 2 Jan 2011 → 4 Jan 2011

Conference

Conference	First International Conference on Computer Science and Information Technology-CCSIT 2011
Country/Territory	India
City	Bangalore
Period	2/01/11 → 4/01/11

UN SDGs

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

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10.1007/978-3-642-17881-8_29

Cite this

@inproceedings{231124e049e2466e9f310896d8d0e850,

title = "Chest X-Ray Analysis for Computer-Aided Diagnostic",

abstract = "X-ray is a classical method for diagnosis of some chest diseases. The diseases are curable if they are detected in their early stages. Detection of chest diseases is mostly based on chest X-ray images (CXR). This is a time consuming process. In some cases, medical experts had overlooked the diseases in their first examinations on CXR, and when the images were re-examined, the disease signs could be detected. Furthermore, the number of CXR to examine is numerous and far beyond the capability of available medical staff, especially in developing countries.A computer-aided diagnosis (CAD) system can mark prospected areas on CXR for careful examination by medical doctors, and can give alarm in the cases that need urgent attention.This paper reports our continuous work on the development of a CAD system. Some preliminary results for detection of early symptoms of some chest diseases like tuberculosis, cancer, lung collapse, heart failure, etc. are presented",

keywords = "computer aided diagnosis, automated disease diagnosis, chest X-ray analysis",

author = "Kim-Thang Le",

year = "2011",

doi = "10.1007/978-3-642-17881-8_29",

language = "English",

isbn = "9783642178801",

volume = "133",

pages = "300--309",

editor = "N Megthanathan and B.K Kaushik and D Nagamalai",

booktitle = "International Conference on Computer Science and Information Technology-CCSIT 2011",

publisher = "Springer",

address = "Netherlands",

note = "First International Conference on Computer Science and Information Technology-CCSIT 2011 ; Conference date: 02-01-2011 Through 04-01-2011",

}

Le, K-T 2011, Chest X-Ray Analysis for Computer-Aided Diagnostic. in N Megthanathan, BK Kaushik & D Nagamalai (eds), International Conference on Computer Science and Information Technology-CCSIT 2011. vol. 133, Springer, Germany, pp. 300-309, First International Conference on Computer Science and Information Technology-CCSIT 2011, Bangalore, India, 2/01/11. https://doi.org/10.1007/978-3-642-17881-8_29

TY - GEN

T1 - Chest X-Ray Analysis for Computer-Aided Diagnostic

AU - Le, Kim-Thang

PY - 2011

Y1 - 2011

N2 - X-ray is a classical method for diagnosis of some chest diseases. The diseases are curable if they are detected in their early stages. Detection of chest diseases is mostly based on chest X-ray images (CXR). This is a time consuming process. In some cases, medical experts had overlooked the diseases in their first examinations on CXR, and when the images were re-examined, the disease signs could be detected. Furthermore, the number of CXR to examine is numerous and far beyond the capability of available medical staff, especially in developing countries.A computer-aided diagnosis (CAD) system can mark prospected areas on CXR for careful examination by medical doctors, and can give alarm in the cases that need urgent attention.This paper reports our continuous work on the development of a CAD system. Some preliminary results for detection of early symptoms of some chest diseases like tuberculosis, cancer, lung collapse, heart failure, etc. are presented

AB - X-ray is a classical method for diagnosis of some chest diseases. The diseases are curable if they are detected in their early stages. Detection of chest diseases is mostly based on chest X-ray images (CXR). This is a time consuming process. In some cases, medical experts had overlooked the diseases in their first examinations on CXR, and when the images were re-examined, the disease signs could be detected. Furthermore, the number of CXR to examine is numerous and far beyond the capability of available medical staff, especially in developing countries.A computer-aided diagnosis (CAD) system can mark prospected areas on CXR for careful examination by medical doctors, and can give alarm in the cases that need urgent attention.This paper reports our continuous work on the development of a CAD system. Some preliminary results for detection of early symptoms of some chest diseases like tuberculosis, cancer, lung collapse, heart failure, etc. are presented

KW - computer aided diagnosis

KW - automated disease diagnosis

KW - chest X-ray analysis

U2 - 10.1007/978-3-642-17881-8_29

DO - 10.1007/978-3-642-17881-8_29

M3 - Conference contribution

SN - 9783642178801

VL - 133

SP - 300

EP - 309

BT - International Conference on Computer Science and Information Technology-CCSIT 2011

A2 - Megthanathan, N

A2 - Kaushik, B.K

A2 - Nagamalai, D

PB - Springer

CY - Germany

T2 - First International Conference on Computer Science and Information Technology-CCSIT 2011

Y2 - 2 January 2011 through 4 January 2011

ER -

Chest X-Ray Analysis for Computer-Aided Diagnostic

Abstract

Conference

UN SDGs

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