Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography-Reference-Cited by-同舟云学术

Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography

Published:2003-06-20 Issue:7 Volume:30 Page:1602-1617
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Suzuki Kenji,Armato Samuel G.,Li Feng,Sone Shusuke,Doi Kunio

Funder

U.S. Public Health Service

Publisher

Wiley

Subject

General Medicine

Reference47 articles.

1. Cancer statistics, 2002;Jemal;Ca-Cancer J. Clin.,2002

2. Non-small-cell lung cancer: Results of the New York screening program;Heelan;Radiology,1984

3. Mass screening for lung cancer with mobile spiral computed topography scanner;Sone;Lancet,1998

4. Peripheral lung cancer: Screening and detection with low-dose spiral CT versus radiography;Kaneko;Radiology,1996

5. Early lung cancer action project: Overall design and findings from baseline screening;Henschke;Lancet,1999

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