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» Predictive Data Mining for Lung Nodule Interpretation
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ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
14 years 1 months ago
Predictive Data Mining for Lung Nodule Interpretation
Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for dia...
William Horsthemke, Ekarin Varutbangkul, Daniela S...
BIOTECHNO
2008
IEEE
14 years 1 months ago
Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics
We use the data collected by the Lung Image Database Consortium (LIDC) for modeling the radiologists’ nodule interpretations based on image content of the nodule by using decisi...
Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan ...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 7 months ago
LungCAD: a clinically approved, machine learning system for lung cancer detection
We present LungCAD, a computer aided diagnosis (CAD) system that employs a classification algorithm for detecting solid pulmonary nodules from CT thorax studies. We briefly descri...
R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salgan...
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
14 years 20 days ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...
AAAI
2007
13 years 9 months ago
A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis
A mathematical programming formulation is proposed to eliminate irrelevant and redundant features for collaborative computer aided diagnosis which requires to detect multiple clin...
Jinbo Bi, Tao Xiong