Resultados de búsqueda - Graphics processing units

Segmentation of Breast Masses in Mammogram Image Using Multilevel Multiobjective Electromagnetism-Like Optimization Algorithm. por Ittannavar, S. S., Havaldar, R. H.

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Improving the Classification Performance of Esophageal Disease on Small Dataset by Semi-supervised Efficient Contrastive Learning. por Du, Wenju, Rao, Nini, Yong, Jiahao, Wang, Yingchun, Hu, Dingcan, Gan, Tao, Zhu, Linlin, Zeng, Bing

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Deep learning to automate the labelling of head MRI datasets for computer vision applications. por Wood, David A., Kafiabadi, Sina, Al Busaidi, Aisha, Guilhem, Emily L., Lynch, Jeremy, Townend, Matthew K., Montvila, Antanas, Kiik, Martin, Siddiqui, Juveria, Gadapa, Naveen, Benger, Matthew D., Mazumder, Asif, Barker, Gareth, Ourselin, Sebastian, Cole, James H., Booth, Thomas C.

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Proceedings of the World Molecular Imaging Congress 2020, October 7-9, 2020: Late-Breaking Abstracts.

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Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning. por Kang, Yusuhn, Choi, Dongjun, Lee, Kyong Joon, Oh, Joo Han, Kim, Bo Ram, Ahn, Joong Mo

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Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade. por Lagree, Andrew, Shiner, Audrey, Alera, Marie Angeli, Fleshner, Lauren, Law, Ethan, Law, Brianna, Fang-I Lu, Dodington, David, Gandhi, Sonal, Slodkowska, Elzbieta A., Shenfield, Alex, Jerzak, Katarzyna J., Sadeghi-Naini, Ali, Tran, William T.

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Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations. por Parakh, Anushri, Cao, Jinjin, Pierce, Theodore T., Blake, Michael A., Savage, Cristy A., Kambadakone, Avinash R.

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Evaluation of pediatric hydronephrosis using deep learning quantification of fluid-to-kidney-area ratio by ultrasonography. por Lin, Yingying, Khong, Pek-Lan, Zou, Zhiying, Cao, Peng

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Automatic discrimination of different sequences and phases of liver MRI using a dense feature fusion neural network: a preliminary study. por Wang, Shu-Hui, Du, Jing, Xu, Hui, Yang, Dawei, Ye, Yuxiang, Chen, Yinan, Zhu, Yajing, Ba, Te, Yuan, Chunwang, Yang, Zheng-Han

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Rethinking Caches for Throughput Processors. por Keckler, Stephen W.

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흉부 영상의학에서 인공지능의 현재와 미래: 폐질환 진단의 새로운 패러다임 por Jin, Gong Yong

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THE ARTIFICIALIZATION OF MIND AND WORLD: with Gillian K. Straine, "Artificial Intelligence and Robotics: Contributions from the Science and Religion Forum"; Michael S. Burdett, "Pe... por Chaudhary, Mohammad Yaqub

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Visualizing Data. por Wagner, Cynthia G.

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Q&A: Attaining The Third Dimension: ACM A.M. Turing Award recipients Ed Catmull and Pat Hanrahan discuss how they helped to bring the power of three-dimensional imagery to computer... por Hoffmann, Leah

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Implementation of GPU accelerated SPECT reconstruction with Monte Carlo-based scatter correction. por Bexelius, Tobias, Sohlberg, Antti

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Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes. por Luo, Yuan, Cheng, Yu, Uzuner, Özlem, Szolovits, Peter, Starren, Justin

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Bridging the Clinical-Computational Transparency Gap in Digital Pathology. por Qiangqiang Gu, Patel, Ankush, Hanna, Matthew G., Lennerz, Jochen K., Garcia, Chris, Zarella, Mark, McClintock, David, Hart, Steven N.

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A Domain-Specific Architecture for Deep Neural Networks. por JOUPPI, NORMAN P., YOUNG, CLIFF, PATIL, NISHANT, PATTERSON, DAVID

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Abstracts and Case Studies for the College of American Pathologists 2020 Annual Meeting (CAP20 Virtual)...October 10-14, 2020

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Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC. por Kim, Dong Wook, Lee, Gaeun, Kim, So Yeon, Ahn, Geunhwi, Lee, June-Goo, Lee, Seung Soo, Kim, Kyung Won, Park, Seong Ho, Lee, Yoon Jin, Kim, Namkug

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