Resultados de búsqueda - Graphics processing units

Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. por Yi, Paul H., Lin, Abigail, Wei, Jinchi, Yu, Alice C., Sair, Haris I., Hui, Ferdinand K., Hager, Gregory D., Harvey, Susan C.

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Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks. por Filice, Ross

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Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs. por Filice, Ross W., Frantz, Shelby K.

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Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI. por Hamm, Charlie A., Wang, Clinton J., Savic, Lynn J., Ferrante, Marc, Schobert, Isabel, Schlachter, Todd, Lin, MingDe, Duncan, James S., Weinreb, Jeffrey C., Chapiro, Julius, Letzen, Brian

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Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning. por Yi, Paul H., Kim, Tae Kyung, Wei, Jinchi, Shin, Jiwon, Hui, Ferdinand K., Sair, Haris I., Hager, Gregory D., Fritz, Jan

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AI in Pediatrics: past, present, and future. por SCHUMAN, ANDREW J.

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Stopping an AI apocalypse. por Aron, Jacob

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Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network. por Fujioka, Tomoyuki, Kubota, Kazunori, Mori, Mio, Kikuchi, Yuka, Katsuta, Leona, Kasahara, Mai, Oda, Goshi, Ishiba, Toshiyuki, Nakagawa, Tsuyoshi, Tateishi, Ukihide

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A Platform Integrating Acquisition, Reconstruction, Visualization, and Manipulator Control Modules for MRI-Guided Interventions. por Velazco Garcia, Jose D., Morales, Cristina M., Tsekos, Nikolaos V., Navkar, Nikhil V., Abinahed, Julien, Al-Ansari, Abdulla, Gui, Dawei, Christoforou, Eftychios G., Ozcan, Alpay, Webb, Andrew, Seimenis, Ioannis

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Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks. por Lee, Donghoon, Kim, Hee-Joung

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A Compressed-Sensing Based Blind Deconvolution Method for Image Deblurring in Dental Cone-Beam Computed Tomography. por Kim, K. S., Kang, S. Y., Park, C. K., Kim, G. A., Park, S. Y., Cho, Hyosung, Seo, C. W., Lee, D. Y., Lim, H. W., Lee, H. W., Park, J. E., Woo, T. H., Oh, J. E.

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Artificial Intelligence in Medical Imaging. por Wagner, Jessyca B.

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Noninvasive Evaluation of the Pathologic Grade of Hepatocellular Carcinoma Using MCF-3DCNN: A Pilot Study. por Yang, Da-wei, Jia, Xi-bin, Xiao, Yu-jie, Wang, Xiao-pei, Wang, Zhen-chang, Yang, Zheng-han

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Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning. por Liang, Shujun, Tang, Fan, Huang, Xia, Yang, Kaifan, Zhong, Tao, Hu, Runyue, Liu, Shangqing, Yuan, Xinrui, Zhang, Yu

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Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT. por Decazes, Pierre, Tonnelet, David, Vera, Pierre, Gardin, Isabelle

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MACHINE LEARNING and Laboratory Medicine NOW AND THE ROAD AHEAD: As artificial intelligence proliferates, clinical laboratorians can leverage their expertise in validating new tech... por DURANT, THOMAS J. S.

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A new software scheme for scatter correction based on a simple radiographic scattering model. por Kim, K., Kang, S., Kim, W., Park, C., Lee, D., Cho, H., Kang, W., Park, S., Kim, G., Lim, H., Lee, H., Park, J., Jeon, D., Lim, Y., Woo, T., Oh, J.

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Detection of suspected brain infarctions on CT can be significantly improved with temporal subtraction images. por Akasaka, Thai, Yakami, Masahiro, Nishio, Mizuho, Onoue, Koji, Aoyama, Gakuto, Nakagomi, Keita, Iizuka, Yoshio, Kubo, Takeshi, Emoto, Yutaka, Satoh, Kiyohide, Yamamoto, Hiroyuki, Togashi, Kaori

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Tumor Identification in Colorectal Histology Images Using a Convolutional Neural Network. por Lee, Joohyung, Oh, Ji Eun, Kim, Hong Rae, Lee, Seonhye, Yoon, Hongjun, Sohn, Dae Kyung, Chang, Hee Jin

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An Automatic Parameter Decision System of Bilateral Filtering with GPU-Based Acceleration for Brain MR Images. por Chang, Herng-Hua, Lin, Yu-Ju, Zhuang, Audrey Haihong

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