검색어 : 통합검색[Introduction to deep learning :]
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861
- Deep learning to predict lymph node status on pre‐operative staging CT in patients with colon cancer
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Bedrikovetski, Sergei;
Zhang, Jianpeng;
Seow, Warren;
Traeger, Luke;
Moore, James W;
Verjans, Johan;
Carneiro, Gustavo;
Sammour, Tarik;
Discipline of Surgery, Faculty of Health and Medical Sciences, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia;
Australian Institute for Machine Learning, School of Computer Science, University of Adelaide, Adelaide, South Australia, Australia;
Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia;
Discipline of Surgery, Faculty of Health and Medical Sciences, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia;
Discipline of Surgery, Faculty of Health and Medical Sciences, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia;
Australian Institute for Machine Learning, School of Computer Science, University of Adelaide, Adelaide, South Australia, Australia
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862
- An improved deep learning-based approach for sentiment mining
- Sharef, Nurfadhlina Mohd; Shafazand, Mohammad Yasser; ; (Information and Communication Technologies (WICT), 2014 Fourth World Congress on, v.2014, 2014, pp.344-348)
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863
- TinyML: Adopting tiny machine learning in smart cities
- Alajlan Norah N.; Ibrahim Dina M.; ; (Journal of Autonomous Intelligence, v.7, 2024, )
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864
- A New Approach to Machine Learning Algorithms in Adaptive E-Learning Systems
- Ahmed Abdelgader Fadol Osman,; ; (Journal of information systems engineering & management, v.10, 2025, pp.419-432)
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865
- Automatic diagnosis of severity of COVID-19 patients using an ensemble of transfer learning models with convolutional neural networks in CT images
- Shalbaf, Ahmad; Gifani, Parisa; Mehri-Kakavand, Ghazal; Pursamimi, Mohamad; Ghorbani, Mahdi; Davanloo, Amirhossein Abbaskhani; Vafaeezadeh, Majid; Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran; Department of Medical Physics, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran; Department of Medical Physics, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran; Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran; (Polish journal of medical physics and engineering : official publication of the Polish Society of Medical Physics, v.28, 2022, pp.117-126)
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866.
- 인공지능 기반의 알츠하이머병 바이오마커 및 예후 예측
- 박채정
- 성균관대학교 일반대학원, 국내박사, 101, 2022
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867
- Detection of spondylosis deformans in thoracolumbar and lumbar lateral X-ray images of dogs using a deep learning network
- Park, Junseol; Cho, Hyunwoo; Ji, Yewon; Lee, Kichang; Yoon, Hakyoung; ; (Frontiers in veterinary science, v.11, 2024, pp.1334438)
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868
- 교육미디어연구에 있어서의 미디어생태학적 시각과 정보해석학적 시각의 도입 필요성 탐색
- 허영주; 남서울대; (교육원리연구, v.13, 2008, pp.115-137)
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869
- Research on Ultra-Short-Term Load Forecasting Based on Real-Time Electricity Price and Window-Based XGBoost Model
- Zhao, Xin; Li, Qiushuang; Xue, Wanlei; Zhao, Yihang; Zhao, Huiru; Guo, Sen; Economic and Technological Research Institute of State Grid Shandong Electric Power Company, Jinan 250022, China; Economic and Technological Research Institute of State Grid Shandong Electric Power Company, Jinan 250022, China; Economic and Technological Research Institute of State Grid Shandong Electric Power Company, Jinan 250022, China; School of Economics and Management, North China Electric Power University, Beijing 102206, China; School of Economics and Management, North China Electric Power University, Beijing 102206, China; School of Economics and Management, North China Electric Power University, Beijing 102206, China; (Energies, v.15, 2022, pp.7367)
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870
- TOWARDS MESH-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION IN PHOTOGRAMMETRY
- Knott, M.; Groenendijk, R.; ; (ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, v.2021, 2021, pp.59-66)
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