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BIBM
2010
IEEE
173views Bioinformatics» more  BIBM 2010»
13 years 8 months ago
Network-based identification of smoking-associated gene signature for lung cancer
This study presents a novel computational approach to identifying a smoking-associated gene signature. The methodology contains the following steps: 1) identifying genes significa...
Ying-Wooi Wan, Changchang Xiao, Nancy Lan Guo
AIME
2009
Springer
13 years 9 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...
ICIP
2010
IEEE
13 years 9 months ago
Robust segmentation of lung tissue in chest CT scanning
This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung regi...
Amal A. Farag, James Graham, Aly Farag
BIBE
2007
IEEE
126views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
An End-to-End Process for Cancer Identification from Images of Lung Tissue
— This research describes a non-interactive process that applies several forms of computational intelligence to the task of classifying biopsy lung tissue samples based on visual...
Walker H. Land Jr., Daniel W. McKee, Tatyana Zhuko...
KR
2010
Springer
14 years 4 months ago
The Temporal Logic of Token Causes
While type causality helps us to understand general relationships such as the etiology of a disease (smoking causing lung cancer), token causality aims to explain causal connectio...
Samantha Kleinberg, Bud Mishra
ISIPTA
2003
IEEE
14 years 4 months ago
Bounding Analysis of Lung Cancer Risks Using Imprecise Probabilities
For cancers with more than one risk factor, the sum of probabilistic estimates of the number of cancers attributable to each individual factor may exceed the total number of cases...
Minh Ha-Duong, Elizabeth Casman, M. Granger Morgan