Resultados de búsqueda - Conditional random fields

Multi-objective Parameter Auto-tuning for Tissue Image Segmentation Workflows. por Taveira, Luis F. R., Melo, Alba C. M. A., Teodoro, George, Bremer, Erich, Saltz, Joel H., Kurc, Tahsin, Kong, Jun

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Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks. por Son, Jaemin, Jung, Kyu-Hwan, Park, Sang Jun

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A new Probabilistic Active Contour region-based method for multiclass medical image segmentation. por Arce-Santana, Edgar R., Mejia-Rodriguez, Aldo R., Martinez-Peña, Enrique, Alba, Alfonso, Mendez, Martin, Scalco, Elisa, Mastropietro, Alfonso, Rizzo, Giovanna

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Technical and clinical overview of deep learning in radiology. por Ueda, Daiju, Shimazaki, Akitoshi, Miki, Yukio

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Machine learning studies on major brain diseases: 5-year trends of 2014-2018. por Sakai, Koji, Yamada, Kei

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Lancet: a high precision medication event extraction system for clinical text. por Li Z, Liu F, Antieau L, Cao Y, Yu H, Li, Zuofeng, Liu, Feifan, Antieau, Lamont, Cao, Yonggang, Yu, Hong

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Evaluation of a generalizable approach to clinical information retrieval using the automated retrieval console (ARC). por D'Avolio LW, Nguyen TM, Farwell WR, Chen Y, Fitzmeyer F, Harris OM, Fiore LD, D'Avolio, Leonard W, Nguyen, Thien M, Farwell, Wildon R, Chen, Yongming, Fitzmeyer, Felicia, Harris, Owen M, Fiore, Louis D

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Classification of pressure ulcer tissues with 3D convolutional neural network. por García-Zapirain, Begoña, Elmogy, Mohammed, El-Baz, Ayman, Elmaghraby, Adel S.

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3D Segmentation Algorithms for Computerized Tomographic Imaging: a Systematic Literature Review. por Carvalho, L. E., Sobieranski, A. C., von Wangenheim, A.

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Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network. por Li, Qiaoliang, Xu, Yuzhen, Chen, Zhewei, Liu, Dexiang, Feng, Shi-Ting, Law, Martin, Ye, Yufeng, Huang, Bingsheng

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Andriod Device-Based Cervical Cancer Screening for Resource-Poor Settings. por Prasad, Keerthana, Kudva, Vidya, Guruvare, Shyamala

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An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation. por Hoseini, Farnaz, Bayat, Peyman, Shahbahrami, Asadollah

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From data to insights: how natural language processing and structured reporting advance data-driven radiology. por Fink, Matthias A.

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Assigning roles to protein mentions: the case of transcription factors. por Yang H, Keane J, Bergman CM, Nenadic G, Yang, Hui, Keane, John, Bergman, Casey M, Nenadic, Goran

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Elements of a computational model for multi-party discourse: the turn-taking behavior of Supreme Court justices. por Hawes T, Lin J, Resnik P

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A de-identifier for medical discharge summaries. por Uzuner O, Sibanda TC, Luo Y, Szolovits P, Uzuner, Ozlem, Sibanda, Tawanda C, Luo, Yuan, Szolovits, Peter

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A comparative study of dictionaries and corpora as methods for language resource addition. por Mori, Shinsuke, Neubig, Graham

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Clark Glymour's responses to the contributions to the Synthese special issue 'Causation, probability, and truth: the philosophy of Clark Glymour'. por Glymour, Clark

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Diversité sociale et sémantique : représentation socio-sémantique d'un corpus scientifique, le cas du corpus ACL Anthology. por OMODEI, ELISA, GUO, YUFAN, COINTET, JEAN-PHILIPPE, POIBEAU, THIERRY

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Evaluation of clinical named entity recognition methods for Serbian electronic health records. por Kaplar, Aleksandar, Stošović, Milan, Kaplar, Aleksandra, Brković, Voin, Naumović, Radomir, Kovačević, Aleksandar

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