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42 та иш

Иш: CNN-based segmentation methods in medical imaging

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Боб201532 иқтибос
    ABI

  2. Predicting students’ future final exam results using machine learning algorithms: A comparative analysis

    Soxobiddin Akhatkulov, O.R. Yusupov, Alisher Omonov

    МақолаOnline Learning and AnalyticsAIP conference proceedings202429 иқтибос
    ABI

  3. Improvement of Image Enhancement Technique for Mammography Images

    Shavkat Fazilov, Kh.S. Abdiyeva, O.R. Yusupov

    МақолаAdvanced Scientific Research Methods202321 иқтибос
    ABI

  4. Patch-based lesion detection using deep learning method on small mammography dataset

    Shavkat Fazilov, Kh.S. Abdieva, O.R. Yusupov

    Боб202318 иқтибос
    ABI

  5. An Algorithm for Evaluating the Parameters Characterizing the Quality of the Image Field of the Iris by the Principal component analysis method

    Shavkat Fazilov, O.R. Yusupov, Kh.S. Abdiyeva

    МақолаBiometric Identification and Security202217 иқтибос
    ABI

  6. A survey on deep learning in medical image analysis

    Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi +6

    Шарҳ мақола201716 иқтибос
    ABI

  7. Improvement of the Daugman Method for Nonreference Assessment of Image Quality in Iris Biometric Technology

    Shavkat Fazilov, O.R. Yusupov

    МақолаBiometric Identification and Security202116 иқтибос
    ABI

  8. Building a Local Classifier for Component-Based Face Recognition

    Shavkat Fazilov, Olimjon Mirzaev, Shukrullo Kakharov

    БобFace and Expression RecognitionLecture notes in computer science202315 иқтибос
    ABI

  9. Multilevel Face Recognition System

    Volodymyr Opanasenko, Shavkat Fazilov, Sobirjon Radjabov +1

    МақолаFace and Expression RecognitionCybernetics and Systems Analysis202414 иқтибос
    ABI

  10. Algorithm for Extraction of the Iris Region in an Eye Image

    Shavkat Fazilov, O.R. Yusupov

    МақолаBiometric Identification and Security201914 иқтибос
    ABI

  11. A framework utilizing deep learning techniques for the detection and classification of breast cancerous cells in mammographic images

    Shavkat Fazilov, Khabiba Abdieva, O.R. Yusupov +2

    МақолаAI in cancer detectionAIP conference proceedings202413 иқтибос
    ABI

  12. Analysis of superpixel segmentation approaches in remote sensing images

    O.R. Yusupov, Erali Eshonqulov, Rabbim Yusupov +1

    МақолаImage Processing Techniques and ApplicationsAIP conference proceedings202413 иқтибос
    ABI

  13. An Ensemble Approach To Face Recognition In Access Control Systems

    Volodymyr Mykolaevich Opanasenko, Shavkat Khayrullaevich Fazilov, Olimjon Mirzaev +1

    МақолаFace recognition and analysisJournal of Mobile Multimedia202412 иқтибос
    ABI

  14. Analysis of pansharpening methods for multispectral satellite imagery

    Shavkat Fazilov, O.R. Yusupov, Sobirjon Radjabov +2

    МақолаAdvanced Image Fusion TechniquesAIP conference proceedings202412 иқтибос
    ABI

  15. Quality assessment parameters of the images obtained with pansharpening methods

    O.R. Yusupov, Erali Eshonqulov, Kuvondik Sattarov +2

    МақолаAdvanced Image Fusion TechniquesAIP conference proceedings202412 иқтибос
    ABI

  16. Fully convolutional networks for semantic segmentation

    Jonathan Long, Evan Shelhamer, Trevor Darrell

    Препринт201512 иқтибос
    ABI

  17. Re-parameterized Gompertz algorithm for the fuzzy ranks of deep CNN models in the identification of breast cancer using mammography images

    Shavkat Fazilov, Khabiba Abdieva, O.R. Yusupov +2

    МақолаAI in cancer detectionAIP conference proceedings202411 иқтибос
    ABI

  18. Mask R-CNN

    Kaiming He, Georgia Gkioxari, Piotr Dollár +1

    Препринт201711 иқтибос
    ABI

  19. Segmentation in mammographic images based on the U-NET model

    Shavkat Fazilov, Khabiba Abdiyeva, O.R. Yusupov +1

    МақолаAI in cancer detectionAIP conference proceedings202411 иқтибос
    ABI

  20. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

    Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +2

    Мақола201711 иқтибос
    ABI

  21. A family of recognition algorithms based on the construction of k-dimensional threshold rules

    Olimjon Mirzaev, Sobirjon Radjabov, Nomaz Mirzaev +2

    МақолаFace and Expression RecognitionProcedia Computer Science20249 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа9 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа9 иқтибос
    ABI

  24. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

    Fabian Isensee, Paul F. Jaeger, Simon A. A. Kohl +2

    Мақола20208 иқтибос
    ABI

  25. Mammographic density classification applying the CLAHE contrast enhancement method

    Shavkat Fazilov, Kh.S. Abdieva, G.D. Sobirova

    Боб20237 иқтибос
    ABI