Resultados de procura - "Deep Learning"

Task design in APOS Theory por María Trigueros, Asuman Oktaç

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Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations por Idris Bachali Losada, Nadia Terranova

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Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes? por Lee, Joon

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Artificial intelligence and digital pathology: Challenges and opportunities por Hamid Reza Tizhoosh, Liron Pantanowitz

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From organs to algorithms: Redefining cancer classification in the age of artificial intelligence por Sean Khozin

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Knowledge graph aids comprehensive explanation of drug and chemical toxicity por Yun Hao, Joseph D. Romano, Jason H. Moore

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Analyse des stratégies d'apprentissage dans une méthode d'apprentissage par problèmes : le cas d'étudiantes en soins infirmiers por Caroline Larue, Mohamed Hrimech

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Research progress in screening methods and predictive models for depression in children and adolescents: a review por Xin WANG, Linyuan LAI, Ying LI, Xiyan ZHANG, Jie YANG

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AI-accelerated therapeutic antibody development: practical insights por Luca Santuari, Marianne Bachmann Salvy, Ioannis Xenarios, Ioannis Xenarios, Bulak Arpat

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Exploring University Teacher Perceptions About Out-of-Class Teamwork por Elizabeth Ruiz-Esparza Barajas, Cecilia Araceli Medrano Vela, Jesús Helbert Karim Zepeda Huerta

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Bioinformatics Research on Drug Sensitivity Prediction por Yaojia Chen, Liran Juan, Xiao Lv, Lei Shi

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CBCT segmentation of the mandibular canal with both semi-automated and fully automated methods: A systematic review por Neil Abraham Barnes, S Sharath, Winniecia Dkhar, Yogesh Chhaparwal, Kaushik Nayak

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Lesion-Based Convolutional Neural Network in Diagnosis of Early Gastric Cancer por Hong Jin Yoon, Jie-Hyun Kim

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An overview of speaker recognition por Junxia Liu, CL Philip Chen, Tieshan Li, Yi Zuo, Peichao He

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Exploring the unseen: Unleashing the potential of Synthesia AI in pedagogical approaches / Ts. Jacqueline Joseph por Joseph, Jacqueline

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Automated pipeline for nerve fiber selection and g-ratio calculation in optical microscopy: exploring staining protocol variations por Bart R. Thomson, Louise Françoise Martin, Paul L. Schmidle, Hannah Schlierbach, Anne Schänzer, Henning Richter

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An expandable informatics framework for enhancing central cancer registries with digital pathology specimens, computational imaging tools, and advanced mining capabilities por David J. Foran, Eric B. Durbin, Wenjin Chen, Evita Sadimin, Ashish Sharma, Imon Banerjee, Tahsin Kurc, Nan Li, Antoinette M. Stroup, Gerald Harris, Annie Gu, Maria Schymura, Rajarsi Gupta, Erich Bremer, Joseph Balsamo, Tammy DiPrima, Feiqiao Wang, Shahira Abousamra, Dimitris Samaras, Isaac Hands, Kevin Ward, Joel H. Saltz

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A systematic review of automated segmentation of 3D computed‐tomography scans for volumetric body composition analysis por Dinh Van Chi Mai, Ioanna Drami, Edward T. Pring, Laura E. Gould, Phillip Lung, Karteek Popuri, Vincent Chow, Mirza F. Beg, Thanos Athanasiou, John T. Jenkins, the BiCyCLE Research Group

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Comparison of machine-learning algorithms for the prediction of current procedural terminology (CPT) codes from pathology reports por Joshua Levy, Nishitha Vattikonda, Christian Haudenschild, Brock Christensen, Louis Vaickus

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Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review por Julia Höhn, Achim Hekler, Eva Krieghoff-Henning, Jakob Nikolas Kather, Jochen Sven Utikal, Friedegund Meier, Frank Friedrich Gellrich, Axel Hauschild, Lars French, Justin Gabriel Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Markus Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Roman C Maron, Max Schmitt, Tanja Jutzi, Stefan Fröhling, Daniel B Lipka, Titus Josef Brinker

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