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42 ta ish

Ish: CNN-based segmentation methods in medical imaging

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

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Bob201532 iqtibos
    ABI

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

    Soxobiddin Akhatkulov, O.R. Yusupov, Alisher Omonov

    MaqolaOnline Learning and AnalyticsAIP conference proceedings202429 iqtibos
    ABI

  3. Improvement of Image Enhancement Technique for Mammography Images

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

    MaqolaAdvanced Scientific Research Methods202321 iqtibos
    ABI

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

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

    Bob202318 iqtibos
    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

    MaqolaBiometric Identification and Security202217 iqtibos
    ABI

  6. A survey on deep learning in medical image analysis

    Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi +6

    Sharh maqola201716 iqtibos
    ABI

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

    Shavkat Fazilov, O.R. Yusupov

    MaqolaBiometric Identification and Security202116 iqtibos
    ABI

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

    Shavkat Fazilov, Olimjon Mirzaev, Shukrullo Kakharov

    BobFace and Expression RecognitionLecture notes in computer science202315 iqtibos
    ABI

  9. Multilevel Face Recognition System

    Volodymyr Opanasenko, Shavkat Fazilov, Sobirjon Radjabov +1

    MaqolaFace and Expression RecognitionCybernetics and Systems Analysis202414 iqtibos
    ABI

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

    Shavkat Fazilov, O.R. Yusupov

    MaqolaBiometric Identification and Security201914 iqtibos
    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

    MaqolaAI in cancer detectionAIP conference proceedings202413 iqtibos
    ABI

  12. Analysis of superpixel segmentation approaches in remote sensing images

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

    MaqolaImage Processing Techniques and ApplicationsAIP conference proceedings202413 iqtibos
    ABI

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

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

    MaqolaFace recognition and analysisJournal of Mobile Multimedia202412 iqtibos
    ABI

  14. Analysis of pansharpening methods for multispectral satellite imagery

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

    MaqolaAdvanced Image Fusion TechniquesAIP conference proceedings202412 iqtibos
    ABI

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

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

    MaqolaAdvanced Image Fusion TechniquesAIP conference proceedings202412 iqtibos
    ABI

  16. Fully convolutional networks for semantic segmentation

    Jonathan Long, Evan Shelhamer, Trevor Darrell

    Preprint201512 iqtibos
    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

    MaqolaAI in cancer detectionAIP conference proceedings202411 iqtibos
    ABI

  18. Mask R-CNN

    Kaiming He, Georgia Gkioxari, Piotr Dollár +1

    Preprint201711 iqtibos
    ABI

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

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

    MaqolaAI in cancer detectionAIP conference proceedings202411 iqtibos
    ABI

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

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

    Maqola201711 iqtibos
    ABI

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

    Olimjon Mirzaev, Sobirjon Radjabov, Nomaz Mirzaev +2

    MaqolaFace and Expression RecognitionProcedia Computer Science20249 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa9 iqtibos
    ABI

  23. Sarlavhasiz

    Boshqa9 iqtibos
    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

    Maqola20208 iqtibos
    ABI

  25. Mammographic density classification applying the CLAHE contrast enhancement method

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

    Bob20237 iqtibos
    ABI