20.7.2.1 Emphysema, Lung Analysis

Chapter Contents (Back)
Emphysema. Lungs. Medical, Applications.

Schilham, A.M.R., van Ginneken, B., Gietema, H., Prokop, M.,
Local Noise Weighted Filtering for Emphysema Scoring of Low-Dose CT Images,
MedImg(25), No. 4, April 2006, pp. 451-463.
IEEE DOI 0604
BibRef

Sluimer, I., Prokop, M., van Ginneken, B.,
Toward Automated Segmentation of the Pathological Lung in CT,
IP(14), No. 9, September 2005, pp. 1360-1371.
IEEE DOI 0508
BibRef

Sluimer, I., Schilham, A.M.R., Prokop, M., van Ginneken, B.,
Computer Analysis of Computed Tomography Scans of the Lung: A Survey,
MedImg(25), No. 4, April 2006, pp. 385-405.
IEEE DOI 0604
Survey, Tomography. BibRef

Loog, M., van Ginneken, B.,
Bony Structure Suppression in Chest Radiographs,
CVAMIA06(166-177).
Springer DOI 0605
BibRef

Loog, M., van Ginneken, B.,
Static posterior probability fusion for signal detection: Applications in the detection of interstitial diseases in chest radiographs,
ICPR04(I: 644-647).
IEEE DOI 0409
BibRef

Xu, Y., Sonka, M., McLennan, G., Guo, J., Hoffman, E.A., <
MDCT-Based 3-D Texture Classification of Emphysema and Early Smoking Related Lung Pathologies,
MedImg(25), No. 4, April 2006, pp. 464-475.
IEEE DOI 0604
BibRef

Sorensen, L., Shaker, S.B., de Bruijne, M.,
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns,
MedImg(29), No. 2, February 2010, pp. 559-569.
IEEE DOI 1002
BibRef

Emrani, S., Gentimis, T., Krim, H.,
Persistent Homology of Delay Embeddings and its Application to Wheeze Detection,
SPLetters(21), No. 4, April 2014, pp. 459-463.
IEEE DOI 1403
Correlation BibRef

Hame, Y., Angelini, E.D., Hoffman, E., Barr, R.G., Laine, A.F.,
Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model,
MedImg(33), No. 7, July 2014, pp. 1527-1540.
IEEE DOI 1407
Computed tomography BibRef

Ross, J.C., Castaldi, P.J., Cho, M.H., Chen, J., Chang, Y., Dy, J.G., Silverman, E.K., Washko, G.R., JosÚ EstÚpar, R.S.,
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes,
MedImg(36), No. 1, January 2017, pp. 343-354.
IEEE DOI 1701
Bayes methods BibRef


Peng, L.Y.[Li-Ying], Lin, L.F.[Lan-Fen], Hu, H.J.[Hong-Jie], Li, H.L.[Hua-Li], Ling, X.L.[Xiao-Li], Wang, D.[Dan], Han, X.H.[Xian-Hua], Iwamoto, Y.T.[Yu-Taro], Chen, Y.W.[Yen-Wei],
Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks,
ICIP18(3119-3123)
IEEE DOI 1809
Lung, Computed tomography, Diseases, Feature extraction, Machine learning, Convolutional neural networks, Emphysema, Deep Learning BibRef

Peng, L.Y.[Li-Ying], Lin, L.F.[Lan-Fen], Hu, H.J.[Hong-Jie], Ling, X.L.[Xiao-Li], Wang, D.[Dan], Han, X.H.[Xian-Hua], Chen, Y.W.[Yen-Wei],
Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images,
ICIP17(2050-2054)
IEEE DOI 1803
computerised tomography, feature extraction, image classification, image colour analysis, Weber's Law BibRef

Yang, J.[Jie], Angelini, E.D.[Elsa D.], Smith, B.M.[Benjamin M.], Austin, J.H.M.[John H. M.], Hoffman, E.A.[Eric A.], Bluemke, D.A.[David A.], Barr, R.G.[R. Graham], Laine, A.F.[Andrew F.],
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study,
MCV16(69-80).
Springer DOI 1711
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Airway Tree Structure .


Last update:Nov 12, 2018 at 11:26:54