검색어 : 통합검색[Introduction to deep learning :]
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971
- Unsupervised content-preserving transformation for optical microscopy
- Li, Xinyang; Zhang, Guoxun; Qiao, Hui; Bao, Feng; Deng, Yue; Wu, Jiamin; He, Yangfan; Yun, Jingping; Lin, Xing; Xie, Hao; Wang, Haoqian; Dai, Qionghai; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Automation, Tsinghua University, Beijing, 100084 China; School of Astronautics, Beihang University, Beijing, 100191 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060 China; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055 China; Department of Automation, Tsinghua University, Beijing, 100084 China; (Light, science & applications, v.10, 2021, pp.44)
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972
- A Deep Learning Approach for Detecting Colorectal Cancer via Raman Spectra
- Cao, Zheng; Pan, Xiang; Yu, Hongyun; Hua, Shiyuan; Wang, Da; Chen, Danny Z.; Zhou, Min; Wu, Jian; RealDoctor AI Research Center, College of Computer Science and Technology, Zhejiang University, China; Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, China; RealDoctor AI Research Center, College of Computer Science and Technology, Zhejiang University, China; Institute of Translational Medicine and the Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, China; Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, China; Department of Computer Science and Engineering, University of Notre Dame, USA; Institute of Translational Medicine and the Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, China; Second Affiliated Hospital School of Medicine, and School of Public Health, Zhejiang University, China; (BME frontiers, v.2022, 2022, pp.9872028)
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973
- Deep Learning for the Detection of Multiple Fundus Diseases Using Ultra-widefield Images
- Sun, Gongpeng; Wang, Xiaoling; Xu, Lizhang; Li, Chang; Wang, Wenyu; Yi, Zuohuizi; Luo, Huijuan; Su, Yu; Zheng, Jian; Li, Zhiqing; Chen, Zhen; Zheng, Hongmei; Chen, Changzheng; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; Wuhan Aiyanbang Technology Co., Ltd, Wuhan, 430073 China; Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin International Joint Research and Development Centre of Ophthalmology and Vision Science, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, 300384 China; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; The People’s Hospital of Yidu, Yidu, 443300 China; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; School of Electron; (Ophthalmology and therapy, v.12, 2023, pp.895-907)
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974
- ResFeats: Residual network based features for underwater image classification
- Mahmood, Ammar; Bennamoun, Mohammed; An, Senjian; Sohel, Ferdous; Boussaid, Farid; The University of Western Australia; The University of Western Australia; The University of Western Australia; Murdoch University; The University of Western Australia; (Image and vision computing, v.93, 2020, pp.103811)
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975
- A Survey of Validation and Verification Methods for AI-Based Vehicle Functions
- Aslandere, Turgay; Durak, Umut; Ford Motor Company, Germany; DLR Institute of Flight Systems, Germany; (SAE international journal of connected and automated vehicles, v.8, 2025, pp.12-08-04-0031)
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976
- Deep Learning in Data Science
- ; ; (International journal of recent technology and engineering, v.8, 2019, pp.638-642)
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977.
- 원격 탐사에서 통합 다중 스케일과 반지도 학습을 이용한 목표 탐지 연구
- 저우창만
- 경남대학교 대학원, 국내박사, 141, 2025
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978
- Uplink Power Control in Cell-Free Massive MIMO via Deep Learning
- D'Andrea, Carmen; LANEAS group of CentraleSupelec,Gif-sur-Yvette, Paris,France; DIEI, University of Cassino and Southern Latium,Cassino,Italy; Mathematical and Algorithmic Sciences Laboratory, France Research Center, Huawei Technologies,Paris,France; (Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 IEEE 8th International Workshop on, v.2019, 2019, pp.554-558)
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979
- Machine learning applications and challenges in graft-versus-host disease: a scoping review
- Mushtaq, Ali Hassan; Shafqat, Areez; Salah, Haneen T.; Hashmi, Shahrukh K.; Muhsen, Ibrahim N.; Department of Internal Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas; Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA; Section of Hematology and Oncology, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA; (Current opinion in oncology, v.35, 2023, pp.594-600)
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980
- Deep Radar Detector
- Brodeski, Daniel; Bilik, Igal; Giryes, Raja; School of Electrical Engineering, Tel-Aviv University; General Motors - Advance Technical Center Israel; School of Electrical Engineering, Tel-Aviv University; (Radar Conference (RadarConf), 2019 IEEE, v.2019, 2019, pp.1-6)
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