These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
294 related items for PubMed ID: 21382681
1. Usefulness of computerized method for lung nodule detection on digital chest radiographs using similar subtraction images from different patients. Aoki T, Oda N, Yamashita Y, Yamamoto K, Korogi Y. Eur J Radiol; 2012 May; 81(5):1062-7. PubMed ID: 21382681 [Abstract] [Full Text] [Related]
2. Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction technique. Tsukuda S, Heshiki A, Katsuragawa S, Li Q, MacMahon H, Doi K. Radiology; 2002 Apr; 223(1):199-203. PubMed ID: 11930067 [Abstract] [Full Text] [Related]
4. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). Suzuki K, Abe H, MacMahon H, Doi K. IEEE Trans Med Imaging; 2006 Apr; 25(4):406-16. PubMed ID: 16608057 [Abstract] [Full Text] [Related]
5. Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs. Schalekamp S, van Ginneken B, Meiss L, Peters-Bax L, Quekel LG, Snoeren MM, Tiehuis AM, Wittenberg R, Karssemeijer N, Schaefer-Prokop CM. Eur J Radiol; 2013 Dec; 82(12):2399-405. PubMed ID: 24113431 [Abstract] [Full Text] [Related]
6. Usefulness of computerized method for lung nodule detection in digital chest radiographs using temporal subtraction images. Aoki T, Oda N, Yamashita Y, Yamamoto K, Korogi Y. Acad Radiol; 2011 Aug; 18(8):1000-5. PubMed ID: 21718956 [Abstract] [Full Text] [Related]
7. Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images. Schalekamp S, van Ginneken B, Koedam E, Snoeren MM, Tiehuis AM, Wittenberg R, Karssemeijer N, Schaefer-Prokop CM. Radiology; 2014 Jul; 272(1):252-61. PubMed ID: 24635675 [Abstract] [Full Text] [Related]
8. Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. Kakeda S, Moriya J, Sato H, Aoki T, Watanabe H, Nakata H, Oda N, Katsuragawa S, Yamamoto K, Doi K. AJR Am J Roentgenol; 2004 Feb; 182(2):505-10. PubMed ID: 14736690 [Abstract] [Full Text] [Related]
11. Temporal subtraction for detection of solitary pulmonary nodules on chest radiographs: evaluation of a commercially available computer-aided diagnosis system. Johkoh T, Kozuka T, Tomiyama N, Hamada S, Honda O, Mihara N, Koyama M, Tsubamoto M, Maeda M, Nakamura H, Saki H, Fujiwara K. Radiology; 2002 Jun; 223(3):806-11. PubMed ID: 12034953 [Abstract] [Full Text] [Related]
13. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy. Hirose T, Nitta N, Shiraishi J, Nagatani Y, Takahashi M, Murata K. Acad Radiol; 2008 Dec; 15(12):1505-12. PubMed ID: 19000867 [Abstract] [Full Text] [Related]
14. Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers. Szucs-Farkas Z, Patak MA, Yuksel-Hatz S, Ruder T, Vock P. Eur Radiol; 2010 Jun; 20(6):1289-96. PubMed ID: 19936752 [Abstract] [Full Text] [Related]
16. Contralateral subtraction: a novel technique for detection of asymmetric abnormalities on digital chest radiographs. Li Q, Katsuragawa S, Ishida T, Yoshida H, Tsukuda S, MacMahon H, Doi K. Med Phys; 2000 Jan; 27(1):47-55. PubMed ID: 10659737 [Abstract] [Full Text] [Related]
17. Usefulness of computer-aided diagnosis schemes for vertebral fractures and lung nodules on chest radiographs. Kasai S, Li F, Shiraishi J, Doi K. AJR Am J Roentgenol; 2008 Jul; 191(1):260-5. PubMed ID: 18562756 [Abstract] [Full Text] [Related]