Unified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopy
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Unified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopy
Unified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopy
Hanoi University of Science and TechnologySchool of Information and Communication TechnologyMaster Thesis ill Data ScienceUnified Deep Neural Networks Unified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopys for Anatomical Site Classification and Lesion Segmentation for Upper Gastrointestinal EndoscopyNGUYEN DUY MANH inanh.nd202657m o.sis.liusl .edu.vnSupervisor: Dr. I ran Vinh DueHanoi 10-2022Author’s DeclarationIhereby declare that I am the sole author of this thesis. The results in this work arc no Unified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopyt complete copies of any other works.STUDENTNguyen Duy ManhContentsContentsAbstractList of FiguresList of TablesList of Acronyms1Introduction11.1GenerUnified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopy
al introduction . ........................................... 11.2Objectives........................................................ 21.3Main contribuHanoi University of Science and TechnologySchool of Information and Communication TechnologyMaster Thesis ill Data ScienceUnified Deep Neural Networks Unified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopy and Machine Learning32.1Basic concepts.................................................... 32.2Types of learning................................................. 42.2.1Supervised learning........................................ 42.2.2Unsupervised learning...................................... 52.2. Unified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopy3Reinforcement learning..................................... 52.3Techniques........................................................ 72.3.1Deep I/earniUnified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopy
ng............................................. 72.3.1.1Deep Learning and Neural Networks.................. 72.3.1.2Perceptron........................Hanoi University of Science and TechnologySchool of Information and Communication TechnologyMaster Thesis ill Data ScienceUnified Deep Neural Networks Unified deep neural networks for anotomical site classification and lesion segmentation for upper gastrointestinal endoscopy Convolutional Network ........................112.3.l.GTraining a Neural Network ........................ 11Hanoi University of Science and TechnologySchool of Information and Communication TechnologyMaster Thesis ill Data ScienceUnified Deep Neural NetworksGọi ngay
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