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Medical Image Diagnosis of Liver Cancer Using a Neural Network and Artificial Intelligence.

, , и . J. Adv. Comput. Intell. Intell. Informatics, 15 (6): 714-722 (2011)

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Tadashi Obara

Katsuhiko Kondo

Kanjior Kondo

Andreas Claus Kondoch

Ivan Kondov

 

Другие публикации лиц с тем же именем

Hybrid feedback GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of lung cancer., , и . SCIS&ISIS, стр. 1925-1930. IEEE, (2012)Revised GMDH-type neural network using artificial intelligence and its application to medical image diagnosis.. HIMA, стр. 76-83. IEEE, (2011)Medical Image Diagnosis of Liver Cancer by Revised GMDH-type Neural Network Using Feedback Loop Calculation., , и . ICGEC, стр. 237-240. IEEE, (2012)Identification of the Multi-layered Neural Networks by Revised GMDH-Type Neural Network Algorithm with PSS Criterion., и . KES, том 3214 из Lecture Notes in Computer Science, стр. 1051-1059. Springer, (2004)Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer., , и . Artif. Life Robotics, 20 (2): 137-144 (2015)Medical Image Recognition of Abdominal Multi-organs by Hybrid Multi-layered GMDH-type Neural Network Using Principal Component-Regression Analysis., , и . CANDAR, стр. 157-163. IEEE Computer Society, (2014)Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer., , , и . Artif. Life Robotics, 23 (1): 48-59 (2018)Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis., , , и . Artif. Life Robotics, 22 (1): 1-9 (2017)GMDH-type neural network algorithm with a feedback loop for structural identification of RBF neural network., , и . Int. J. Knowl. Based Intell. Eng. Syst., 11 (3): 157-168 (2007)Medical Image Diagnosis of Liver Cancer Using a Neural Network and Artificial Intelligence., , и . J. Adv. Comput. Intell. Intell. Informatics, 15 (6): 714-722 (2011)