Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Bae SU, Jeong WK, Bae OS, et al (2016) Reduced-port robotic anterior resection for left-sided colon cancer using the Da Vinci single-site(®) platform , Int J Med Robot 2016; 12: 517–523

	Bearer E.L., J.S. Lowengrub, H.B. Frieboes, Y.L. Chuang, F. Jin, S.M. Wise, M. Ferrari, D.B. Agus, and V. Cristini. (2009) Multiparameter Computational Modeling of Tumor Invasion , Cancer Research 69 (10): 4493

	Dharmarajan, A and Velmurugan, T (2016) Efficiency of k-Means and k-Medoids Clustering Algorithms using Lung Cancer Dataset , International Journal of Data Mining Techniques and Applications, 150, pp. 150-156

	Gao, W, Zakharov, VP, Myakinin, OO, Bratchenko, IA, Artemyev, DN and Kornilin, DV (2016) Medical images classification for skin cancer using quantitative image features with optical coherence tomography , Journal of Innovative Optical Health Sciences, 9(2), p 9 pages

	Gao, W, Zakharov, VP, Myakinin, OO, Bratchenko, IA, Artemyev, DN and Kornilin, DV (2016) Medical images classification for skin cancer using quantitative image features with optical coherence tomography , Journal of Innovative Optical Health Sciences, 9(2), pp. 1-9

	Harvey, HH, Karpati, EK, Khara, GK, Korkinof, DK, Ng, AN, Austin, CA, Rijken, TR and Kecskemethy, PK (2019) The Role of Deep Learning in Breast Screening , Current Breast Cancer Reports, 11, pp. 17-22

	Lin, Y.-C. et al. (2018) Integrated BIM, Game Engine and VR Technologies for Healthcare Design: A Case Study in Cancer Hospital , Adv. Eng. Inform., 36, pp. 130-145

	Magro, A.; Swarz, J. y Ousley, A. (2010) CancerSPACE: An interactive e-learning tool aimed to improve cancer screening Rates. , Journal of Computer-Mediated Communication, 15 (3), 482-499.

	Nelson, Celeste M. & Bissell, Mina J. (2006) Of extracellular matrix, scaffolds, and signaling: tissue architecture regulates development, homeostasis, and cancer , Annu Rev Cell Dev Biology, p287

	Sepulveda, J. A., et al. (1999) The use of simulation for process improvement in a cancer treatment center , Proceedings of the 31st conference on Winter simulation: Simulation?a bridge to the future ? Volume 2. Phoenix, Arizona, USA, ACM: 1541?1548

	Sepúlveda, J.A., Thompson, W., Baesler, F. and Alvarez, M. (1999) The Use of Simulation for Process Improvement in a Cancer Treatment Center , actas de conferencia Winter Simulation Conference ’99, Phoenix, Arizona, USA, pp. 1551-1548

	Sheth, DS and Giger, MLG (2019) Artificial intelligence in the interpretation of breast cancer on MRI , J Magn Reson Imaging, 51, pp. 1310-1324

	Xu, JX, Yang, PY, Xue, SX, Sharma, BS, Sanchez-Martin, MSM, Wang, FW, Beaty, KAB, Dehan, ED and Parikh, BP (2019) Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives , Human Genetics, 138, pp. 109-124

	Zebari, D.A., Ibrahim, D.A., Zeebaree, D.Q., Mohammed, M.A., Haron, H., Zebari, N.A., Damaševièius, R. and Maskeliunas, R. (2021) Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion , Appl. Sci., 11, p12122

	Zheng, Y., Yang, C. and Merkulov, A. (2018) Breast cancer screening using convolutional neural network and follow-up digital mam-mography , Computational Imaging III. International Society for Optics and Photonics

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