Validation of a new image-based approach for the accurate estimating of the growth rate of detected lung nodules using real computed tomography images and elastic phantoms generated by state-of-the-art microfluidics technology

Ayman El-Baz; Palaniappan Sethu; Georgy Gimel'farb; Fahmi Khalifa; Ahmed Elnakib; Robert Falk; Mohamed Abo El-Ghar; Jasjit Suri

Validation of a new image-based approach for the accurate estimating of the growth rate of detected lung nodules using real computed tomography images and elastic phantoms generated by state-of-the-art microfluidics technology

Ayman El-Baz, Palaniappan Sethu, Georgy Gimel'farb, Fahmi Khalifa, Ahmed Elnakib, Robert Falk, Mohamed Abo El-Ghar, Jasjit Suri

School of Engineering (Behrend)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

28 Citations (SciVal)

Original language	English (US)
Title of host publication	Lung Imaging and Computer Aided Diagnosis
Publisher	CRC Press
Pages	405-420
Number of pages	16
ISBN (Electronic)	9781439845585
ISBN (Print)	9781138072077
State	Published - Apr 19 2016

All Science Journal Classification (ASJC) codes

General Medicine
General Biochemistry, Genetics and Molecular Biology
General Engineering

Cite this

El-Baz, A., Sethu, P., Gimel'farb, G., Khalifa, F., Elnakib, A., Falk, R., El-Ghar, M. A., & Suri, J. (2016). Validation of a new image-based approach for the accurate estimating of the growth rate of detected lung nodules using real computed tomography images and elastic phantoms generated by state-of-the-art microfluidics technology. In Lung Imaging and Computer Aided Diagnosis (pp. 405-420). CRC Press.

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author = "Ayman El-Baz and Palaniappan Sethu and Georgy Gimel'farb and Fahmi Khalifa and Ahmed Elnakib and Robert Falk and El-Ghar, {Mohamed Abo} and Jasjit Suri",

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El-Baz, A, Sethu, P, Gimel'farb, G, Khalifa, F, Elnakib, A, Falk, R, El-Ghar, MA & Suri, J 2016, Validation of a new image-based approach for the accurate estimating of the growth rate of detected lung nodules using real computed tomography images and elastic phantoms generated by state-of-the-art microfluidics technology. in Lung Imaging and Computer Aided Diagnosis. CRC Press, pp. 405-420.

Validation of a new image-based approach for the accurate estimating of the growth rate of detected lung nodules using real computed tomography images and elastic phantoms generated by state-of-the-art microfluidics technology. / El-Baz, Ayman; Sethu, Palaniappan; Gimel'farb, Georgy et al.
Lung Imaging and Computer Aided Diagnosis. CRC Press, 2016. p. 405-420.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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T1 - Validation of a new image-based approach for the accurate estimating of the growth rate of detected lung nodules using real computed tomography images and elastic phantoms generated by state-of-the-art microfluidics technology

AU - El-Baz, Ayman

AU - Sethu, Palaniappan

AU - Gimel'farb, Georgy

AU - Khalifa, Fahmi

AU - Elnakib, Ahmed

AU - Falk, Robert

AU - El-Ghar, Mohamed Abo

AU - Suri, Jasjit

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BT - Lung Imaging and Computer Aided Diagnosis

PB - CRC Press

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El-Baz A, Sethu P, Gimel'farb G, Khalifa F, Elnakib A, Falk R et al. Validation of a new image-based approach for the accurate estimating of the growth rate of detected lung nodules using real computed tomography images and elastic phantoms generated by state-of-the-art microfluidics technology. In Lung Imaging and Computer Aided Diagnosis. CRC Press. 2016. p. 405-420

Validation of a new image-based approach for the accurate estimating of the growth rate of detected lung nodules using real computed tomography images and elastic phantoms generated by state-of-the-art microfluidics technology

All Science Journal Classification (ASJC) codes

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