Hybrid Classification Approach of Malignant and Benign Pulmonary Nodules Based on Topological and Histogram Features - researchr publication authors

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Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Masahiko Kusumoto, Ryutaro Kakinuma, Kensaku Mori, Hiroyuki Nishiyama, Kenji Eguchi, Masahiro Kaneko, Noriyuki Moriyama. Hybrid Classification Approach of Malignant and Benign Pulmonary Nodules Based on Topological and Histogram Features. In Scott L. Delp, Anthony M. DiGioia, Branislav Jaramaz, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000, Third International Conference, Pittsburgh, Pennsylvania, USA, October 11-14, 2000, Proceedings. Volume 1935 of Lecture Notes in Computer Science, pages 297-306, Springer, 2000.

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