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Our study was featured on AuntMinnie.com

Date :
2010.11.15
Category :
Press Coverage

Our study was featured on AuntMinnie.com

Our RSNA presentation entitled “Observer Performance Study: Effect of Computer-aided Detection (CADe) on the Performance of Expert Radiologists in Detection of “Difficult” Polyps in CT Colonography (CTC) in a Multicenter Clinical Trial” by Suzuki K., Hori M., Iinuma G., Friedman A. C., and Dachman A. H., was featured in the article “VC CAD helps radiologists detect difficult polyps” on AuntMinnie.com.

Our RSNA presentation entitled “Computer-aided Detection of Hepatocellular Carcinoma in Multiphase Contrast-enhanced Hepatic CT” by Xu J., Suzuki K., Hori M., Oto A., and Baron R. L., was featured in the article “New CAD approach reduces false-positives for HCC” on AuntMinnie.com.

Our RSNA presentation entitled “Improved computerized detection of lung nodules in chest radiographs by means of “virtual dual-energy” radiography” by Chen S., Suzuki K., and MacMahon H., was featured in the article “Chest x-ray CAD scheme suppresses ribs to improve results ” on AuntMinnie.com.

Our RSNA presentation entitled “Computer-aided Detection (CADe) of Flat Lesions in CT Colonography (CTC) by Means of a Spinning-Tangent Technique” by Suzuki K., Sheu I., Kawaler E., Ferraro F., Rockey D. C., and Dachman A. H., was featured in the article “New VC CAD technique powers up sensitivity for flat lesions” on AuntMinnie.com.

Kenji Suzuki Laboratory

Institute of Innovative Research (IIR)
Tokyo Institute of Technology

Biomedical AI Research Unit