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A preliminary study of visualizing texture components of stage IA lung adenocarcinoma in three-dimensional thoracic CT images with structure-texture image decomposition.

Y. Kawata, N. Niki, M. Kusumoto, H. Ohmatsu, K. Aokage, G. Ishii, Y. Matsumoto, T. Tsuchida, K. Eguchi, and M. Kaneko. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113170G. SPIE, (2020)

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Computer-aided CT image features improving the malignant risk prediction in pulmonary nodules suspicious for lung cancer.Y. Kawata, N. Niki, M. Kusumoto, H. Ohmatsu, K. Aokage, G. Ishii, Y. Matsumoto, T. Tsuchida, K. Eguchi, and M. Kaneko. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501J. SPIE, (2019)Representation of thoracic N1 lymph nodes group in contrast-enhanced CT images using distance maps based on tracheobronchial labeling.Y. Kawata, H. Suzuki, Y. Matsumoto, T. Tsuchida, K. Aokage, G. Ishii, M. Kusumoto, and N. Niki. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12468 of SPIE Proceedings, SPIE, (2023)Potential usefulness of a topic model-based categorization of lung cancers as quantitative CT biomarkers for predicting the recurrence risk after curative resection.Y. Kawata, N. Niki, H. Ohmatsu, M. Satake, M. Kusumoto, T. Tsuchida, K. Aokage, K. Eguchi, M. Kaneko, and N. Moriyama. Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90352N. SPIE, (2014)Prognostic importance of pleural attachment status measured by pretreatment CT images in patients with stage IA lung adenocarcinoma: Measurement of the ratio of the interface between nodule and neighboring pleura to nodule surface area.Y. Kawata, N. Niki, M. Kusumoto, H. Ohmatsu, K. Aokage, G. Ishii, Y. Matsumoto, T. Tsuchida, K. Eguchi, and M. Kaneko. Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105751G. SPIE, (2018)Representation of texture structures with topological data analysis for stage IA lung adenocarcinoma in three-dimensional thoracic CT images.Y. Kawata, N. Niki, M. Kusumoto, H. Ohamatsu, K. Aokage, G. Ishii, Y. Matsumoto, T. Tsuchida, K. Eguchif, and M. Kaneko. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Preliminary study of visualizing membrane structures of spiculated pulmonary nodules in three-dimensional thoracic CT images.Y. Kawata, N. Niki, H. Ohmatsu, K. Aokage, M. Kusumoto, T. Tsuchida, K. Eguchi, and M. Kaneko. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 978819. SPIE, (2016)A preliminary study of visualizing texture components of stage IA lung adenocarcinoma in three-dimensional thoracic CT images with structure-texture image decomposition.Y. Kawata, N. Niki, M. Kusumoto, H. Ohmatsu, K. Aokage, G. Ishii, Y. Matsumoto, T. Tsuchida, K. Eguchi, and M. Kaneko. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113170G. SPIE, (2020)Nonlinear dimensionality reduction of CT histogram based feature space for predicting recurrence-free survival in non-small-cell lung cancer.Y. Kawata, N. Niki, H. Ohmatsu, K. Aokage, M. Kusumoto, T. Tsuchida, K. Eguchi, and M. Kaneko. Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94141N. SPIE, (2015)