
|
Bibliografia
[1] |
Maurence M. Anguh and Aristófanes C. Silva. Multislice segmentation and enhancement
in mammograms. In X Simpósio Brasileiro de Computaçao Gráfica e Processamento de
Imagem, pages 136-139. IEEE Transactions on Computers, 1997.
[ bib ] |
[2] |
Paulo Ventura Araujo. Geometria Diferencial. Instituto de Matematica Pura e
Aplicada, Rio de Janeiro, RJ, 1998.
[ bib ]
|
[3] |
American Lung Association. Facts about lung cancer.
[ bib
| .html ] |
[4] |
National Electrical Manufacturers Association. Digital imaging and communications in
medicine, 1998.
[ bib
| http ] |
[5] |
C. Bradford Barber, David P. Dobkin, and Hannu Huhdanpaa. The quickhull algorithm for
convex hulls. ACM Transactions on Mathematical Software, 22(4):469-483, 1996.
[ bib | http ] |
[6] |
Margrit Betke, Harrison Hong, and Jane P. Ko. Automatic 3d registration of lung
sufarces in computed tomography scans. In Fourth International Conference on Medical
Image Computing and Computer-Assisted Intervention MICCAI 2001, pages 725-733,
Utrecht, The Netherlands, 2001.
[ bib | http ] |
[7] |
Ricardo Beyruti. Diagnóstico precoce do câncer de pulmao. Revista Joy, 5(57),
1999.
[ bib
] |
[8] |
Jean-Marie Bouroche and Gilbert Saporta. Análise de Dados. Zahar Editores
S.A., 1982.
[ bib
] |
[9] |
K. R. Castleman. Digital Image Processing. Prentice Hall, Englewood Cliffs, NJ,
USA, 1996.
[ bib
] |
[10] |
David A. Clunie. DICOM Structered Reporting. PixelMed Publishing, Pennsylvania,
2000.
[ bib ]
|
[11] |
Luiz Henrique de Figueiredo and Paulo Cézar Pinto de Carvalho. Introduçao a
Geometria Computacional. Instituto de Matemática Pura e Aplicada, Rio de Janeiro -
RJ, 1991.
[ bib
] |
[12] |
Chitra Dorai and Anil K. Jain. COMOS - a representation scheme for 3d free-form
objects. IEEE Transactions on Pattern Analysis and Machine Intelligence,
19(10):1115-1130, october 1997.
[ bib ] |
[13] |
Richard O. Duda and Peter E. Hart. Pattern Classification and Scene Analysis.
Wiley-Interscience Publication, New York, 1973.
[ bib ] |
[14] |
J e Jr. Cabral. ARIES : Software for interactive segmentation of medical images
featuring 3d region growing. Master's thesis, University of Washington, 1993.
[ bib ]
|
[15] |
Petra A. Van Den Elsen, Evert-Jan D. Pal, and Max A. Viergever. Medical image matching
- a review with classification. IEEE Engineering in Medice and Biology, pages
26-39, 1993.
[ bib ] |
[16] |
Stephan Gunther Erberich, Koun-Sik Song, Hiroaki Arakawa, H. K. Huang, Richard Webb,
Kent Soo Hoo, and Billy W. Loo. Knowledge-based lung nodule detection from helical CT. Bildverarbeitung
für die Medizin, pages 337-341, 1999.
[ bib
| .html ] |
[17] |
D. C. Van Essen and H. A. Drury. Structural and functional analyses of human cerebral
cortex using a surface-based atlas. The Journal of Neuroscience, 17(18):7079-7102,
1997.
[ bib ] |
[18] |
Hotaka Takizawa et al. Recognition of lung nodules from x-ray CT images considering
3-d structure of objects and uncertainty of recognition.
[ bib
| http ] |
[19] |
J. Everhart and M. Cannon. Image segmentation applied to CT examination of
lymphagioleiomyomatosis (LAM). In SPIE Conf. Medical Imaging Newport Beach, CA,
1994.
[ bib
] |
[20] |
Li Fan, Carol L. Novak, Jianzhong Qian, Gerhard Kohl, and David P. Naidich. Automatic
detection of lung nodules from multi-slice low-dose CT images. In SPIE Medical Imaging,
San Diego, CA, 2001.
[ bib ] |
[21] |
Bernhard Flury and Hans Riedwyl. Multivariete Statistics : A Practical Approach.
Chapman and Hall, New York, 1988.
[ bib ] |
[22] |
Elisangela Furlan. Destaque asco 2000, 2000.
[ bib |
http ] |
[23] |
R. C. Gonzalez and R. E. Woods. Digital Image Processing. Addison-Wesley,
Reading, MA, USA, 3rd edition, 1992.
[ bib
] |
[24] |
Lewis D. Griffin. The intrinsic geometry of the cerebral cortex. Journal of
theoretical Biology, 166:261-273, 1994.
[ bib
] |
[25] |
R.M. Haralick, K. Shanmugam, and I. Dinstein. Textural features for image
classification. SMC, 3(6):610-621, November 1973.
[ bib
] |
[26] |
M. Hasegawa, S. Sone, S. Takashima, F. Li, Z-G Yang, Y. Maruyama, and T. Watanabe.
Growth rate of small lung cancers detected on mass CT screening. The British Journal of
Radiology, 73:1252-1259, december 2000.
[ bib
] |
[27] |
David W. Henderson. Differental Geometry: A Geometric Introduction.
Prentice-Hall, Upper Saddle River, New Jersey, 1998.
[ bib
] |
[28] |
Claudia I. Henschke and et al. Early lung cancer action project: A summary of the
findings on baseline screening. The Oncologist, 6:147-152, 2001.
[ bib
] |
[29] |
Gunter Hetzel, Bastian Leibe, Paul Levi, and Bernt Schiele. 3d object recognition from
range images using local feature histograms. IEEE on Computer Society Conference,
2:394-399, 2001.
[ bib ]
|
[30] |
Karl H. Hohne and Willian A. Hanson. Interactive 3d segmentation of MRI and CT volumes
using morphogical operations. Journal of Computer Assisted Tomography,
16(2):285-294, Maio 1992.
[ bib ] |
[31] |
C. J. Huberty. Applied Discriminant Analysis. Wiley-Interscience, 1994.
[ bib
] |
[32] |
Claudia I.Henschke and David F. Yankelevitz. Ct screening for lung cancer. Radiologic
Clinics of North America, 38(3):487-495, Maio 2000.
[ bib
] |
[33] |
Slobodan Ilic and Brasislav Ulicnv. Seeded region growing method for image
segmentation, 2000.
[ bib | .html ] |
[34] |
Instituto Nacional Do Câncer (INCA). Câncer de pulmao. 2001.
[ bib | .html ] |
[35] |
A. K. Jain. Fundamentals of Digital Image Processing. Prentice Hall, Englewood
Cliffs, NJ, USA, 1989.
[ bib ] |
[36] |
DG Jain. Understanding the solitary pulmonary nodule. 2001.
[ bib |
.html ] |
[37] |
K. Kanazawa, Y. Kawata, N. Niki, H. Satoh, H. Ohmatsu, R. Kakinuma, M. Kaneko, N.
Moriyma, and K. Eguchi. Computer-aided diagnosis for pulmonary nodules based on helical CT
images. Computered Medical Imaging and Graphics, 22:157-167, 1998.
[ bib
] |
[38] |
K. Kanazawa, N. Niki, H. Satoh, H. Ohmatsu, and N. Moriyama. Computer assisted
diagnosis of lung cancer using helical x-ray CT. In Proceedings of the IEEE Workshop on
Biomedical Image Analysis, pages 261-267, 1994.
[ bib
] |
[39] |
Y. Kawata, N. Niki, , H. Ohmatsu, R. Kakinuma, K. Eguchi, M. Kaneko, and N. Moriyama.
Classification of pulmonary nodules in thin-section CT images based on shape
characterization. In International Conference on Image Processing, volume 3, pages
528-530. IEEE, 1997.
[ bib
] |
[40] |
Y. Kawata, N. Niki, H. Ohmatsu, R. Kakinuma, K. Eguchi, M. Kaneko, and N. Moriyama.
Quantitative surface characterization of pulmonary nodules based on thin-section CT
images. IEEE Transactions on Nuclear Science, 45(4):2132-2138, august 1998.
[ bib
] |
[41] |
Y. Kawata, N. NIKI, H. Ohmatsu, M. Kusumoto, R. Kakinuma, K. Mori, H. Nishiyama, K.
Eguchi, M. Kaneko, and N. Moriyama. Internal structure analysis of pulmonary nodules in
topological and histogram feature spaces. In International Conference on Image
Processing, volume 1, pages 168-171. IEEE, 2000.
[ bib
] |
[42] |
Y. Kawata, N. Niki, H. Ohmatsu, M. Kusumoto, R. Kakinuma, K. Mori, H. Nishiyama, K.
Eguchi, M. Kaneko, and N. Moriyama. Computer aided differential diagnosis of pulmonary
nodules using curvature based analysis. In International Conference on Image Analysis
and Processing, volume 2, pages 470-475. IEEE, 1999.
[ bib
] |
[43] |
Y. Kawata, N. Niki, H. Ohmatsu, M. Kusumoto, R. Kakinuma, K. Mori, H. Nishiyama, K.
Eguchi, M. Kaneko, and N. Moriyama. Computerized analysis of 3-d pulmonary nodule images
in surrounding and internal structure feature spaces. In International Conference on
Image Processing, volume 2, pages 889-892. IEEE, 2001.
[ bib
] |
[44] |
Jane P. Ko and Magrit Betke. Chest CT : Automated nodule detection and assessment of
change over time - preliminary experience. Radiologic Clinics of North America,
218:267-273, 2001.
[ bib ] |
[45] |
Jan J. Koenderink. Solid Shape. MIT Press, Cambridge, MA, USA, 1990.
[ bib
] |
[46] |
Jan J. Koenderink and Andrea J. Van Doorn. Surface shape and curvature scales. Image
and Vision Computing, 10(8):557-565, october 1992.
[ bib
] |
[47] |
S. Krass, D. Bohm, and D. Selle. Determination of bronchopulmonary segments based on
HRCT data. pages 584-589, Amsterdan:Elsevier, 2000.
[ bib ]
|
[48] |
Stefan Krass, Dominik Bohm, and Dirk Selle. Determination of bronchopulmanary segments
based on chest CT, 2000.
[ bib |
.html ] |
[49] |
K. Kubota, M. Kubo, Y. Kawata, N. NIKI, K. Eguchi, H. Ohmatsu, R. Kakinuma, M. Kaneko,
and N. Moriyama. The results in the clinical trial of CAD system for lung cancer using
helical CT images. In International Conference on Image Processing, volume 1, pages
313-316. IEEE, 2001.
[ bib ]
|
[50] |
C. H. Levy, L. H. Figueiredo, M. Gattass, C. J. P. Lucena, and D. Cowan. IUP : A
portable user interface development tool. Software : Practice and Experience,
267:737-762, 1996.
[ bib | http ] |
[51] |
Wen-Yau Liang and Peter O'Grady. A formalism for the creation of virual reality worlds
from radiology imaging data. Technical Report TR98-06, University of Iowa, 1998.
[ bib ] |
[52] |
W. E. Lorensen and H. E. Cline. Marching cubes: A high resolution 3d surface
construction algorithm. Computer Graphics, 21:163-169, 1987.
[ bib
] |
[53] |
J. B. Antoine Maintz and Max A. Viergever. An overview of medical image registration
methods. IEEE, pages 1-20, 1999.
[ bib ]
|
[54] |
Michael F. McNitt-Gray, Eric M. Hart, Nathaniel Wyckoff, James W. Sayre, Jonathan G.
Goldin, and Denise R. Aberle. The effects of co-occurrence matrix based texture parameters
on the classification of solitary pulmonary nodules imaged on computed tomography. Computerized
Medical Imaging and Graphics, 23:339-348, 1999.
[ bib
] |
[55] |
Michael F. McNitt-Gray, Eric M. Hart, Nathaniel Wyckoff, James W. Sayre, Jonathan G.
Goldin, and Denise R. Aberle. A pattern classification approach to characterizing solitary
pulmonary nodules imaged on high resolution CT: Preliminary results. Medical Physics,
26(6):880-888, 1999.
[ bib
] |
[56] |
Olli S. Miettinen. Screening for lung cancer. Radiologic Clinic North America,
38(3):479-485, Maio 2000.
[ bib
] |
[57] |
Floro Miraldi and Ernest J. Wiesen. Computed Tomography of the Whole Body,
volume 1, chapter Imaging Principles in Computed Tomography, pages 1-24. The C. V. Mosby
Company, Washington, 2 edition, 1988.
[ bib ] |
[58] |
Bryan S. Morse. Differential geometry, 2000.
[ bib | .pdf ] |
[59] |
Russell E. Muzzolini. A Volumetric Approach to Segmenation and Texture
Characterisation of Ultrasound Images. PhD thesis, College and Graduate Studies and
Research, 1996.
[ bib
] |
[60] |
N. Niki, K. Kanazawa, H. Satoh, H. Ohmatsu, and N. Moriyama. Computer assisted
diagnosis of lung cancer using helical x-ray CT. In Nuclear Science Symposium and
Medical Imaging Conference, volume 3, pages 1475-1479. IEEE Conference Record, 1995.
[ bib ] |
[61] |
N. Niki, H. Ohmatsu, R. Kakinuma, K. Eguchi, M. Kaneko, and N. Moriyama. Quantitative
surface characterization of pulmonary nodules based on thin-section CT images. IEEE
Transactions on Nuclear Science, 45(4):2132-2138, august 1998.
[ bib ] |
[62] |
N. Nikolaidis and I. Pitas. 3-D Image Processing Algorithms. John Wiley, New
York, 2001.
[ bib
] |
[63] |
Y. Ohtake, A. Belyaev, and A. Pasko. Dynamic meshes for accurate polygonization of
implicit surfaces with sharp features. In SMI 2001 International Conference on Shape
Modeling and Applications, pages 74-81. IEEE, 2001.
[ bib ]
|
[64] |
J. R. Parker. Algorithms for Image Processing and Computer Vision. John Wiley
& Sons, Inc, USA, 1997.
[ bib ]
|
[65] |
Chandrasekhar Pisuti, Lawrence Wolff, Elias Zerohouni, and Wayne Mitzner. Segmentation
of 3d pulmonary trees using mathematical morphology.
[ bib ]
|
[66] |
Antony P. Reeves and Willian J. Kostis. Computer-aided diagnosis for lung cancer. Radiologic
Clinics of North America, 38(3):497-509, Maio 2000.
[ bib ]
|
[67] |
Thomas Schiemann, Michael Bomans, Ulf Tiede, and Karl Heinz Hohme. Interactive
3d-segmentation. In Visualization in Biomedical Computing II, volume 1808. Robb
R.A., 1992.
[ bib
] |
[68] |
Ana Elisa F. Schmidt, Marcelo Gattass, and Paulo Cezar P. Carvalho. Combined 3d
visualization of voume data and polygonal models using a shear-warp algorithm. Computers
Graphics, 24:583-601, 2000.
[ bib
] |
[69] |
A. C. Silva and P. C. P. Carvalho. Sistema de análise de nódulo pulmonar. II
Workshop de Informática Médica Aplicada à Saúde, 2002.
[ bib |
.html ] |
[70] |
Andy Castellano Smith. The Folding of the Human Brain, from Shape to Function.
PhD thesis, University of London, 1999.
[ bib | .html ] |
[71] |
Milan Sonka, Gopal Sundaramoorthy, and Eric. A. Hoffman. Knowledge-based segmentation
of intrathoracic airways from multidimensional high resolution CT images. In Eric A.
Hoffman and Raj S. Acharya, editors, Medical Imaging 1994: Physiology and Function from
Multidimensional Images, pages 73-85. Proc. SPIE 2168, 1994.
[ bib ] |
[72] |
Grupo Tecnologia Gráfica TecGraf. Canvas draw CD, 2001.
[ bib |
http ] |
[73] |
Jean-Philipe Thirion and Alexis Gourdon. Computing the differential characteristics of
isointensity surfaces. Computer Vision and Image Understanding, 61(2):190-202,
march 1995.
[ bib
] |
[74] |
Jean-Philippe Thirion and Guillaume Calmon. Measuring lesion growth from 3d medical
images. -.
[ bib
| .html ] |
[75] |
Brad H. Thompson, J. Willian Lee, and et all. Lung anatomy, 1999. Virtual Hospital.
[ bib
| http ] |
[76] |
Tetsuka Tosaki, Yoshiki Kawata, and Noboru Niki. 3d image analysis of lung area using
thin slice CT images. In Nuclear Science Symposium and Medical Imaging Conference
Record, volume 3, pages 1592 -1596. IEEE, 1995.
[ bib ]
|
[77] |
T. Tozaki, Y. Kawata, N. Niki, H. Ohmatsu, K. Eguchi, and N. Moriyama.
Three-dimensional analysis of lung areas using thin slice CT images. In Eric A. Hoffman,
editor, Physiology and Function from Multidimensional Images, pages 2-11, Newport
Beach, CA, USA, 1996. SPIE : Medical Imaging.
[ bib
] |
[78] |
T. Tozaki, Y. Kawata, N. Niki, H. Ohmatsu, R. Kakinuma, K. Eguchi, M. Kaneko, and N.
Moriyana. Pulmonary organs analysis for differential diagnosis based on thoracic
thin-section CT images. IEEE Transactions on Nuclear Science, 45(6):3075-3082,
december 1998.
[ bib ]
|
[79] |
Radiology Update. High resolution CT of the lung.
[ bib |
.html ] |
[80] |
Marjolein van der Glas. Principles of computarerized tomographic imaging. 2000.
[ bib ] |
[81] |
Andrew Wallace and Sarah Price. Gaussian and mean curvature, 2002.
[ bib
| http
] |
[82] |
Sally L. Wood and H. Jamali. Segmentation of gray scale sampled images with bimodal
source models. In Conference Record of The Twenty-Sixth Asilomar, pages 456-460.
Signals, Systems and Computers, 1992.
[ bib ] |
[83] |
Philip L. Worthington and Edwin R. Hancock. Histogram-based object recognition using
shape-from-shading. In IEEE Conference on Computer Vision and Pattern Recognition,
volume 1, pages 643-648, may 2000.
[ bib
] |
[84] |
Philip L. Worthington and Edwin R. Hancock. Object recognition using
shape-from-shading. IEEE Transactions on Pattern Analysis and Machine Intelligence,
23(5):535-542, may 2001.
[ bib
] |
[85] |
Yecheng Ted Wu. Image Segmentation : The First Step in 3-D Imaging. able
software, 1999.
[ bib ] |
[86] |
David F. Yankelevitz, Rajiv Gupta, Binsheng Zhao, and Claudia I. Henschke. Small
pulmonary nodules : Evaluation with repeat CT - preliminary experience. Radiology,
212:561-566, 1999.
[ bib
] |
[87] |
David F. Yankelevitz and Claudia I. Henschke. Small solitary pulmonary nodules. Radiologic
Clinics of North America, 38(3):1-7, may 2000.
[ bib
] |
[88] |
David F. Yankelevitz, Anthony P. Reeves, Willian J. Kostis, Binsheng Zhao, and Claudia
I. Henschke. Small pulmonary nodules : Volumetrically determined growth rates based on CT
evaluation. Radiologic Clinics of North America, 217:251-256, 2000.
[ bib
] |
This file has been generated by bibtex2html
1.54
|