يعرض 1 - 10 نتائج من 58 نتيجة بحث عن '"Cancer image classification"', وقت الاستعلام: 0.90s تنقيح النتائج
  1. 1
    مؤتمر
    A review of various techniques used for classification of dermatoscopic images using machine learning or deep learning classifiers

    المؤلفون: Srivastava, Varun, Pandey, Vaibhav

    المصدر: 2023 Second International Conference on Informatics (ICI) Informatics (ICI), 2023 Second International Conference on. :1-6 Nov, 2023

    Relation: 2023 Second International Conference on Informatics (ICI)

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  2. 2
    دورية أكاديمية
    GARL-Net: Graph Based Adaptive Regularized Learning Deep Network for Breast Cancer Classification

    المؤلفون: Patel, V., Chaurasia, V., Mahadeva, R., Patole, S.P.

    المصدر: IEEE Access Access, IEEE. 11:9095-9112 2023

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  3. 3
    دورية أكاديمية
    A novel breast cancer image classification model based on multiscale texture feature analysis and dynamic learning

    المؤلفون: Guo, JiaAff1, Aff4, Aff5, Yuan, HaoAff1, Aff4, Aff5, Shi, BinghuaAff1, Aff4, Aff5, IDs41598024578915_cor3, Zheng, XiaofengAff2, IDs41598024578915_cor4, Zhang, ZitengAff1, Aff4, Aff5, Li, HongyanAff1, Aff4, Aff5, Sato, Yuji

    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
    Breast Cancer Classification From Histopathological Images Using Resolution Adaptive Network

    المؤلفون: Zhou, Y., Zhang, C., Gao, S.

    المصدر: IEEE Access Access, IEEE. 10:35977-35991 2022

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  5. 5
    دورية أكاديمية
    A novel breast cancer image classification model based on multiscale texture feature analysis and dynamic learning

    المؤلفون: Jia Guo, Hao Yuan, Binghua Shi, Xiaofeng Zheng, Ziteng Zhang, Hongyan Li, Yuji Sato

    المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

    مصطلحات موضوعية: Breast cancer image classification, Multi-scale texture analysis, Dynamic learning strategy, Medicine, Science

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2045-2322

    URL الوصول: https://doaj.org/article/27856fbee83b41ffa145924838c1edc2

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  6. 6
    مؤتمر
    DenseNet model with RAdam optimization algorithm for cancer image classification

    المؤلفون: Wan, Zheng, Yuxiang, Zhang, Gong, Xuhui, Zhanghuali, Yu, Boyang

    المصدر: 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on. :771-775 Jan, 2021

    Relation: 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)

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  7. 7
    مؤتمر
    Metastatic Cancer Image Classification Based On Deep Learning Method

    المؤلفون: Qiu, GuanWen, Yu, Xiaobing, Sun, Baolin, Wang, Yunpeng, Zhang, Lipei

    المصدر: 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on. :658-661 Jan, 2021

    Relation: 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)

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  8. 8
    مؤتمر
    Metastatic Cancer Image Binary Classification Based on Resnet Model

    المؤلفون: Wang, M., Gong, X.

    المصدر: 2020 IEEE 20th International Conference on Communication Technology (ICCT) Communication Technology (ICCT), 2020 IEEE 20th International Conference on. :1356-1359 Oct, 2020

    Relation: 2020 IEEE 20th International Conference on Communication Technology (ICCT)

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  9. 9
    دورية أكاديمية
    Colon and lung cancer classification from multi-modal images using resilient and efficient neural network architectures

    المؤلفون: A. Hasib Uddin, Yen-Lin Chen, Miss Rokeya Akter, Chin Soon Ku, Jing Yang, Lip Yee Por

    المصدر: Heliyon, Vol 10, Iss 9, Pp e30625- (2024)

    مصطلحات موضوعية: Dense neural networks (DNN), Cancer image classification, Multi-modal network, Histopathological imaging, CT-Scan imaging, Lung cancer, Science (General), Q1-390, Social sciences (General), H1-99

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S2405844024066568; https://doaj.org/toc/2405-8440

    URL الوصول: https://doaj.org/article/585c9a8e0bfa4c698ad17b12d341f0c7

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  10. 10
    دورية أكاديمية
    Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning

    المؤلفون: Wang, Y., Lei, B., Elazab, A., Tan, E., Wang, W., Huang, F., Gong, X., Wang, T.

    المصدر: IEEE Access Access, IEEE. 8:27779-27792 2020

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