يعرض 1 - 10 نتائج من 21 نتيجة بحث عن '"ResNet-50 model"', وقت الاستعلام: 0.83s تنقيح النتائج
  1. 1
    مؤتمر
    Channel Attention Based on ResNet-50 Model for Image Classification of DFUs Using CNN

    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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  2. 2
    مؤتمر
    The Resnet-50 Revolution: Leveraging Transfer Learning for Malaria Diagnosis

    المؤلفون: Anslam Sibi, S, Sivamohan, S, Prabhakaran, Sindhuja, Albin, Sahaya Burney

    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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  3. 3
    دورية أكاديمية
    Efficient diagnosis of psoriasis and lichen planus cutaneous diseases using deep learning approach

    المؤلفون: Eskandari, Arshia, Sharbatdar, MahkameAff1, IDs41598024605264_cor2

    المصدر: Scientific Reports. 14(1)

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
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  4. 4
    دورية أكاديمية
    Efficient diagnosis of psoriasis and lichen planus cutaneous diseases using deep learning approach

    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

    URL الوصول: https://doaj.org/article/1bedcd2c03b84bc48b2f5efd9487d621

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
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  5. 5
    دورية أكاديمية
    Classification and Identification of Apple Leaf Diseases and Insect Pests Based on Improved ResNet-50 Model

    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

    Relation: https://www.mdpi.com/2311-7524/9/9/1046; https://doaj.org/toc/2311-7524

    URL الوصول: https://doaj.org/article/cb23ecbf2d7c429e8cb398a5fce26781

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  6. 6
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

    View record in Scopus
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  7. 7
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

    View record in Scopus
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  8. 8
    دورية أكاديمية
    Automated Classification of Blood Loss from Transurethral Resection of the Prostate Surgery Videos Using Deep Learning Technique

    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

    Relation: https://www.mdpi.com/2076-3417/10/14/4908; https://doaj.org/toc/2076-3417

    URL الوصول: https://doaj.org/article/a3995dc2a1c34a9d9b2ac91539710829

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  9. 9
    An efficient model for induction motor fault detection using a deep transfer learning network

    المؤلفون: Alasmer Ibrahim, Fatih Anayi, Michael Packianather

    مصطلحات موضوعية: Thermal mages, ResNet-50 model, pre-trained model, fault diagnosis

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31d4fda8fdeb9b9c0ab86aa1bbae2141

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  10. 10
    Automated Classification of Blood Loss from Transurethral Resection of the Prostate Surgery Videos Using Deep Learning Technique

    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 14

    مصطلحات 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

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef7e67315e6afc2020a52bb10392109d
    https://www.mdpi.com/2076-3417/10/14/4908

    Find this article in full text from ProQuest
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