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Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs.

K. Suzuki, J. Shiraishi, F. Li, H. Abe, H. MacMahon, and K. Doi. Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)

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Gregory Scott MacMahon

John M MacMahon

Gerhard Heber

Helmut Heber

Barbara Heber

Other publications of authors with the same name

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.S. Trajanovski, D. Mavroeidis, C. Swisher, B. Gebre, B. Veeling, R. Wiemker, T. Klinder, A. Tahmasebi, S. Regis, C. Wald and 4 other author(s). Comput. Medical Imaging Graph., (2021)Computerized analysis of interstitial lung diseases on chest radiographs based on lung texture, geometric-pattern features, and artificial neural networks.T. Ishida, S. Katsuragawa, K. Nakamura, K. Ashizawa, H. MacMahon, and K. Doi. Medical Imaging: Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs.K. Suzuki, J. Shiraishi, F. Li, H. Abe, H. MacMahon, and K. Doi. Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Network output visualization to uncover limitations of deep learning detection of pneumothorax.J. Crosby, S. Chen, F. Li, H. MacMahon, and M. Giger. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160O. SPIE, (2020)Computer-assisted detection of pulmonary embolism.Y. Masutani, H. MacMahon, and K. Doi. Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Analysis of a three-dimensional lung nodule detection method for thoracic CT scans.S. Armato, M. Giger, and H. MacMahon. Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography.S. Katsuragawa, H. Tagashira, Q. Li, H. MacMahon, and K. Doi. J. Digital Imaging, 12 (4): 166-172 (1999)Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs.X. Xu, S. Katsuragawa, K. Ashizawa, H. MacMahon, and K. Doi. Medical Imaging: Image Processing, volume 3338 of SPIE Proceedings, SPIE, (1998)Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease.T. Ishida, S. Katsuragawa, K. Ashizawa, H. MacMahon, and K. Doi. J. Digital Imaging, 11 (4): 182-192 (1998)Neural network approach for differential diagnosis of interstitial lung diseases.N. Asada, K. Doi, H. MacMahon, S. Montner, M. Giger, C. Abe, and C. Wu. Medical Imaging: Image Processing, volume 1233 of SPIE Proceedings, SPIE, (1990)

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