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Items: 1 to 20 of 142

1.

A novel multithreshold method for nodule detection in lung CT.

Golosio B, Masala GL, Piccioli A, Oliva P, Carpinelli M, Cataldo R, Cerello P, De Carlo F, Falaschi F, Fantacci ME, Gargano G, Kasae P, Torsello M.

Med Phys. 2009 Aug;36(8):3607-18.

PMID:
19746795
2.

Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models.

Cascio D, Magro R, Fauci F, Iacomi M, Raso G.

Comput Biol Med. 2012 Nov;42(11):1098-109. doi: 10.1016/j.compbiomed.2012.09.002. Epub 2012 Sep 26.

PMID:
23020972
3.

A novel computer-aided lung nodule detection system for CT images.

Tan M, Deklerck R, Jansen B, Bister M, Cornelis J.

Med Phys. 2011 Oct;38(10):5630-45. doi: 10.1118/1.3633941.

PMID:
21992380
4.

Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.

Way TW, Hadjiiski LM, Sahiner B, Chan HP, Cascade PN, Kazerooni EA, Bogot N, Zhou C.

Med Phys. 2006 Jul;33(7):2323-37.

5.

Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images.

Chen B, Kitasaka T, Honma H, Takabatake H, Mori M, Natori H, Mori K.

Int J Comput Assist Radiol Surg. 2012 May;7(3):465-82. doi: 10.1007/s11548-011-0638-5. Epub 2011 Jul 8.

PMID:
21739111
6.

Hybrid detection of lung nodules on CT scan images.

Lu L, Tan Y, Schwartz LH, Zhao B.

Med Phys. 2015 Sep;42(9):5042-54. doi: 10.1118/1.4927573.

PMID:
26328955
7.
8.

A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.

Messay T, Hardie RC, Rogers SK.

Med Image Anal. 2010 Jun;14(3):390-406. doi: 10.1016/j.media.2010.02.004. Epub 2010 Feb 19.

PMID:
20346728
9.

High performance lung nodule detection schemes in CT using local and global information.

Guo W, Li Q.

Med Phys. 2012 Aug;39(8):5157-68. doi: 10.1118/1.4737109.

10.

Data analysis of the Lung Imaging Database Consortium and Image Database Resource Initiative.

Wang W, Luo J, Yang X, Lin H.

Acad Radiol. 2015 Apr;22(4):488-95. doi: 10.1016/j.acra.2014.12.004. Epub 2015 Jan 15.

PMID:
25601306
11.

3-D segmentation algorithm of small lung nodules in spiral CT images.

Diciotti S, Picozzi G, Falchini M, Mascalchi M, Villari N, Valli G.

IEEE Trans Inf Technol Biomed. 2008 Jan;12(1):7-19. doi: 10.1109/TITB.2007.899504.

PMID:
18270032
12.
13.

Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.

Sahiner B, Chan HP, Hadjiiski LM, Cascade PN, Kazerooni EA, Chughtai AR, Poopat C, Song T, Frank L, Stojanovska J, Attili A.

Acad Radiol. 2009 Dec;16(12):1518-30. doi: 10.1016/j.acra.2009.08.006.

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17.

A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model.

Bellotti R, De Carlo F, Gargano G, Tangaro S, Cascio D, Catanzariti E, Cerello P, Cheran SC, Delogu P, De Mitri I, Fulcheri C, Grosso D, Retico A, Squarcia S, Tommasi E, Golosio B.

Med Phys. 2007 Dec;34(12):4901-10.

PMID:
18196815
18.

The effect of radiation dose reduction on computer-aided detection (CAD) performance in a low-dose lung cancer screening population.

Young S, Lo P, Kim G, Brown M, Hoffman J, Hsu W, Wahi-Anwar W, Flores C, Lee G, Noo F, Goldin J, McNitt-Gray M.

Med Phys. 2017 Apr;44(4):1337-1346. doi: 10.1002/mp.12128. Epub 2017 Mar 14.

PMID:
28122122
19.

Toward clinically usable CAD for lung cancer screening with computed tomography.

Brown MS, Lo P, Goldin JG, Barnoy E, Kim GH, McNitt-Gray MF, Aberle DR.

Eur Radiol. 2014 Nov;24(11):2719-28. doi: 10.1007/s00330-014-3329-0. Epub 2014 Jul 24.

PMID:
25052078
20.

The LoG characteristic scale: a consistent measurement of lung nodule size in CT imaging.

Diciotti S, Lombardo S, Coppini G, Grassi L, Falchini M, Mascalchi M.

IEEE Trans Med Imaging. 2010 Feb;29(2):397-409. doi: 10.1109/TMI.2009.2032542.

PMID:
20129846

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