Gergely Orbán and Gábor Horváth
The purpose of this paper is to show an efficient method for the detection of signs of early lung cancer. Various image processing algorithms are presented for different types of…
Abstract
Purpose
The purpose of this paper is to show an efficient method for the detection of signs of early lung cancer. Various image processing algorithms are presented for different types of lesions, and a scheme is proposed for the combination of results.
Design/methodology/approach
A computer aided detection (CAD) scheme was developed for detection of lung cancer. It enables different lesion enhancer algorithms, sensitive to specific lesion subtypes, to be used simultaneously. Three image processing algorithms are presented for the detection of small nodules, large ones, and infiltrated areas. The outputs are merged, the false detection rate is reduced with four separated support vector machine (SVM) classifiers. The classifier input comes from a feature selection algorithm selecting from various textural and geometric features. A total of 761 images were used for testing, including the database of the Japanese Society of Radiological Technology (JSRT).
Findings
The fusion of algorithms reduced false positives on average by 0.6 per image, while the sensitivity remained 80 per cent. On the JSRT database the system managed to find 60.2 per cent of lesions at an average of 2.0 false positives per image. The effect of using different result evaluation criteria was tested and a difference as high as 4 percentage points in sensitivity was measured. The system was compared to other published methods.
Originality/value
The study described in the paper proves the usefulness of lesion enhancement decomposition, while proposing a scheme for the fusion of algorithms. Furthermore, a new algorithm is introduced for the detection of infiltrated areas, possible signs of lung cancer, neglected by previous solutions.
Details
Keywords
The opposition now has a real chance to unseat Prime Minister Viktor Orban in the 2022 elections for the first time since Fidesz’s 2010 landslide. Vast incumbent advantages and a…
HUNGARY: Opposition can use Fudan plan against Orban
Details
DOI: 10.1108/OXAN-ES261943
ISSN: 2633-304X
Keywords
Geographic
Topical
Local and municipal election results.
Details
DOI: 10.1108/OXAN-DB247169
ISSN: 2633-304X
Keywords
Geographic
Topical
Budapest's balancing between traditional and non-traditional ties.
Details
DOI: 10.1108/OXAN-DB198144
ISSN: 2633-304X
Keywords
Geographic
Topical
HUNGARY: Latest electoral victory will justify Orban
Details
DOI: 10.1108/OXAN-ES231976
ISSN: 2633-304X
Keywords
Geographic
Topical
Orban made the announcement during his annual State of the Nation address. For 18 months, Budapest has delayed ratifying Sweden’s NATO membership, over Stockholm's criticism of…
Details
DOI: 10.1108/OXAN-DB285311
ISSN: 2633-304X
Keywords
Geographic
Topical
A scandal engulfing the ruling right-wing Fidesz party and the subsequent meteoric rise of Peter Magyar as a key opposition player have marked the run-up to the polls, which until…
Details
DOI: 10.1108/OXAN-DB287450
ISSN: 2633-304X
Keywords
Geographic
Topical
HUNGARY/POLAND: Ties set to deteriorate further
Details
DOI: 10.1108/OXAN-ES291817
ISSN: 2633-304X
Keywords
Geographic
Topical
The electoral success of activists, political entrepreneurs, more liberal-minded or pro-EU politicians in capital cities is not a strong signal that attitudes and voting patterns…