يعرض 1 - 10 نتائج من 2,643 نتيجة بحث عن '"Computer-Assisted Diagnosis"', وقت الاستعلام: 1.09s تنقيح النتائج
  1. 1
    مؤتمر
    Enhancing Skin Lesions Segmentation and Classification through Hierarchical Attention ResUnet Model

    المؤلفون: Kahal, Sakina, Meddeber, Lila, Zouagui, Tarik

    المصدر: 2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC) Electrical Engineering and Automatic Control (ICEEAC), 2024 2nd International Conference on. :1-6 May, 2024

    Relation: 2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC)

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  2. 2
    مؤتمر
    A Short Review on Convolutional Neural Networks-Based Histopathological Breast Cancer Classification

    المؤلفون: Meddas, Ahmed Omrane, Jabri, Dalel, Chouaib Belkhiat, Djamel Eddine

    المصدر: 2024 8th International Conference on Image and Signal Processing and their Applications (ISPA) Image and Signal Processing and their Applications (ISPA), 2024 8th International Conference on. :1-8 Apr, 2024

    Relation: 2024 8th International Conference on Image and Signal Processing and their Applications (ISPA)

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  3. 3
    دورية أكاديمية
    Few-Shot Synthetic Online Transfer Learning for Cross-Site Neurological Disease Diagnosis

    المؤلفون: Pei, Z., Wei, F., Zhu, Z., Wu, X.

    المصدر: IEEE Transactions on Computational Social Systems IEEE Trans. Comput. Soc. Syst. Computational Social Systems, IEEE Transactions on. 11(2):2201-2209 Apr, 2024

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  4. 4
    مؤتمر
    Computer-Assisted Laser Treatment of Anorectal Pathology

    المؤلفون: Ivanov, Dmitry, Kolbas, Yury, Kuznetsov, Evgenii, Soloveva, Tatiana

    المصدر: 2023 9th International Conference on Mechanical and Electronics Engineering (ICMEE) Mechanical and Electronics Engineering (ICMEE), 2023 9th International Conference on. :527-531 Nov, 2023

    Relation: 2023 9th International Conference on Mechanical and Electronics Engineering (ICMEE)

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  5. 5
    دورية أكاديمية
    Impact of an AI software on the diagnostic performance and reading time for the detection of cerebral aneurysms on time of flight MR-angiography

    المؤلفون: Lehnen, Nils C.Aff1, Aff2, IDs0023402403351w_cor1, Schievelkamp, Arndt-Hendrik, Gronemann, Christian, Haase, Robert, Krause, Inga, Gansen, Max, Fleckenstein, Tobias, Dorn, Franziska, Radbruch, AlexanderAff1, Aff2, Paech, Daniel

    المصدر: Neuroradiology: A Journal Dedicated to Neuroimaging and Interventional Neuroradiology. 66(7):1153-1160

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  6. 6
    دورية أكاديمية
    Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms

    المؤلفون: Ragnarsdottir, Hanna, Ozkan, EceAff2, IDs1126302401996x_cor2, Michel, Holger, Chin-Cheong, Kieran, Manduchi, Laura, Wellmann, Sven, Vogt, Julia E.Aff1, IDs1126302401996x_cor7

    المصدر: International Journal of Computer Vision. 132(7):2567-2584

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  7. 7
    دورية أكاديمية
    Both intra- and peri-tumoral radiomics signatures can be used to predict lymphatic vascular space invasion and lymphatic metastasis positive status from endometrial cancer MR imaging

    المؤلفون: Li, Shengyong, Wang, Yida, Sun, Yiyang, Li, Dexuan, Zhang, Qi, Ning, Yan, Lu, Yuanyuan, Wang, Wenjing, Zhang, HeAff2, IDs00261024044323_cor9, Yang, GuangAff1, IDs00261024044323_cor10

    المصدر: Abdominal Radiology. :1-11

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  8. 8
    دورية أكاديمية
    Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performance

    المؤلفون: Mosquera, CandelariaAff1, Aff2, IDs00330024108340_cor1, Ferrer, Luciana, Milone, Diego H., Luna, Daniel, Ferrante, EnzoAff4, IDs00330024108340_cor5

    المصدر: European Radiology. :1-9

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  9. 9
    دورية أكاديمية
    Natural language processing pipeline to extract prostate cancer-related information from clinical notes

    المؤلفون: Nakai, Hirotsugu, Suman, Garima, Adamo, Daniel A., Navin, Patrick J., Bookwalter, Candice A., LeGout, Jordan D., Chen, Frank K., Wellnitz, Clinton V., Silva, Alvin C., Thomas, John V., Kawashima, Akira, Fan, Jungwei W., Froemming, Adam T., Lomas, Derek J., Humphreys, Mitchell R., Dora, Chandler, Korfiatis, Panagiotis, Takahashi, NaokiAff1, IDs00330024108126_cor18

    المصدر: European Radiology. :1-14

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  10. 10
    دورية أكاديمية
    Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software

    المؤلفون: Kim, Hee Jeong, Choi, Woo JungAff1, IDs00330023104228_cor2, Gwon, Hye Yun, Jang, Seo Jin, Chae, Eun Young, Shin, Hee Jung, Cha, Joo Hee, Kim, Hak Hee

    المصدر: European Radiology. 34(6):3924-3934

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