Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseскороОткрытый API экосистемы
Латиница
← Назад к работе

Работы, на которые ссылается эта работа

Работ: 42

Работа: CNN-based segmentation methods in medical imaging

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

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Глава2015Цитирований: 32
    ABI

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

    Soxobiddin Akhatkulov, O.R. Yusupov, Alisher Omonov

    СтатьяOnline Learning and AnalyticsAIP conference proceedings2024Цитирований: 29
    ABI

  3. Improvement of Image Enhancement Technique for Mammography Images

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

    СтатьяAdvanced Scientific Research Methods2023Цитирований: 21
    ABI

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

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

    Глава2023Цитирований: 18
    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

    СтатьяBiometric Identification and Security2022Цитирований: 17
    ABI

  6. A survey on deep learning in medical image analysis

    Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi +6

    Обзорная статья2017Цитирований: 16
    ABI

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

    Shavkat Fazilov, O.R. Yusupov

    СтатьяBiometric Identification and Security2021Цитирований: 16
    ABI

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

    Shavkat Fazilov, Olimjon Mirzaev, Shukrullo Kakharov

    ГлаваFace and Expression RecognitionLecture notes in computer science2023Цитирований: 15
    ABI

  9. Multilevel Face Recognition System

    Volodymyr Opanasenko, Shavkat Fazilov, Sobirjon Radjabov +1

    СтатьяFace and Expression RecognitionCybernetics and Systems Analysis2024Цитирований: 14
    ABI

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

    Shavkat Fazilov, O.R. Yusupov

    СтатьяBiometric Identification and Security2019Цитирований: 14
    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

    СтатьяAI in cancer detectionAIP conference proceedings2024Цитирований: 13
    ABI

  12. Analysis of superpixel segmentation approaches in remote sensing images

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

    СтатьяImage Processing Techniques and ApplicationsAIP conference proceedings2024Цитирований: 13
    ABI

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

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

    СтатьяFace recognition and analysisJournal of Mobile Multimedia2024Цитирований: 12
    ABI

  14. Analysis of pansharpening methods for multispectral satellite imagery

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

    СтатьяAdvanced Image Fusion TechniquesAIP conference proceedings2024Цитирований: 12
    ABI

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

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

    СтатьяAdvanced Image Fusion TechniquesAIP conference proceedings2024Цитирований: 12
    ABI

  16. Fully convolutional networks for semantic segmentation

    Jonathan Long, Evan Shelhamer, Trevor Darrell

    Препринт2015Цитирований: 12
    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

    СтатьяAI in cancer detectionAIP conference proceedings2024Цитирований: 11
    ABI

  18. Mask R-CNN

    Kaiming He, Georgia Gkioxari, Piotr Dollár +1

    Препринт2017Цитирований: 11
    ABI

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

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

    СтатьяAI in cancer detectionAIP conference proceedings2024Цитирований: 11
    ABI

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

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

    Статья2017Цитирований: 11
    ABI

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

    Olimjon Mirzaev, Sobirjon Radjabov, Nomaz Mirzaev +2

    СтатьяFace and Expression RecognitionProcedia Computer Science2024Цитирований: 9
    ABI

  22. Без названия

    ДругоеЦитирований: 9
    ABI

  23. Без названия

    ДругоеЦитирований: 9
    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

    Статья2020Цитирований: 8
    ABI

  25. Mammographic density classification applying the CLAHE contrast enhancement method

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

    Глава2023Цитирований: 7
    ABI