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1مؤتمر
المؤلفون: Narang, Kriti, Gupta, Meenu, Kumar, Rakesh, Obaid, Ahmed J.
المصدر: 2024 5th International Conference for Emerging Technology (INCET) Emerging Technology (INCET), 2024 5th International Conference for. :1-6 May, 2024
Relation: 2024 5th International Conference for Emerging Technology (INCET)
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2مؤتمر
المصدر: 2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), 2024 2nd International Conference on. :1-5 Mar, 2024
Relation: 2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
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3دورية أكاديمية
المؤلفون: Eskandari, Arshia, Sharbatdar, MahkameAff1, IDs41598024605264_cor2
المصدر: Scientific Reports. 14(1)
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4دورية أكاديمية
المؤلفون: Arshia Eskandari, Mahkame Sharbatdar
المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
مصطلحات موضوعية: Deep learning in dermatology, Lichen planus, Psoriasis, Diagnosis, ResNet-50 model, Medicine, Science
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2045-2322
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5دورية أكاديمية
المؤلفون: Xiaohua Zhang, Haolin Li, Sihai Sun, Wenfeng Zhang, Fuxi Shi, Ruihua Zhang, Qin Liu
المصدر: Horticulturae, Vol 9, Iss 9, p 1046 (2023)
مصطلحات موضوعية: apple leaf diseases and insect pests, ResNet-50 model, coordinated attention block, weight-adaptive multi-scale feature fusion, deep learning, Plant culture, SB1-1110
وصف الملف: electronic resource
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6دورية أكاديمية
لا يتم عرض هذه النتيجة على الضيوف.
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7دورية أكاديمية
لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل. -
8دورية أكاديمية
المؤلفون: Jian-Wen Chen, Wan-Ju Lin, Chun-Yuan Lin, Che-Lun Hung, Chen-Pang Hou, Ching-Che Cho, Hong-Tsu Young, Chuan-Yi Tang
المصدر: Applied Sciences, Vol 10, Iss 14, p 4908 (2020)
مصطلحات موضوعية: U-Net model, ResNet-50 model, HSV color space, transurethral resection of the prostate (TURP), classification of bleeding area, blood loss, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
وصف الملف: electronic resource
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10
المؤلفون: Che Lun Hung, Ching Che Cho, Chun-Yuan Lin, Wan Ju Lin, Chuan Yi Tang, Hong-Tsu Young, Jian Wen Chen, Chen-Pang Hou
المصدر: Applied Sciences, Vol 10, Iss 4908, p 4908 (2020)
Applied Sciences
Volume 10
Issue 14مصطلحات موضوعية: medicine.medical_specialty, Computer science, medicine.medical_treatment, U-Net model, transurethral resection of the prostate (TURP), 02 engineering and technology, HSL and HSV, Color space, lcsh:Technology, 030218 nuclear medicine & medical imaging, lcsh:Chemistry, 03 medical and health sciences, 0302 clinical medicine, Blood loss, Surgical removal, 0202 electrical engineering, electronic engineering, information engineering, medicine, HSV color space, General Materials Science, Segmentation, blood loss, Instrumentation, ResNet-50 model, lcsh:QH301-705.5, Transurethral resection of the prostate, Hue, Fluid Flow and Transfer Processes, business.industry, lcsh:T, Process Chemistry and Technology, Deep learning, classification of bleeding area, General Engineering, lcsh:QC1-999, Computer Science Applications, Surgery, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, deep learning technique, Res-Unet model, 020201 artificial intelligence & image processing, Artificial intelligence, business, lcsh:Engineering (General). Civil engineering (General), lcsh:Physics
وصف الملف: application/pdf