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7 ta ish

Ish: Construction of a Quasi-Linear Ensemble of Algorithms for Diagnosing Tumors Detected from Mammography Images

  1. A transfer learning-based fine-tuned ResNet-50 model for scene classification

    O.R. Yusupov, Yigitali Khandamov, Erali Eshonqulov +2

    MaqolaAdvanced Neural Network ApplicationsAIP conference proceedings20251 iqtibos
    ABI

  2. CNN-based segmentation methods in medical imaging

    Khurram Tangirov, Mirkamol Alimov, Islom Mengliyev +1

    MaqolaBrain Tumor Detection and ClassificationAIP conference proceedings20250 iqtibos
    ABI

  3. Development of a mathematical model and algorithm to automate the creation of 2D and 3D fractals using the inversion algorithm for circular shapes

    Z. E. Ibrohimova, Sarvinoz Mirzaahmedova, Mukhriddin Samidov +1

    MaqolaImage Processing and 3D ReconstructionAIP conference proceedings20250 iqtibos
    ABI

  4. A mixture of expert networks for binary classification of chronic kidney disease using polymorphisms of genes encoding uromodulin, antioxidant enzymes, and clinical biomarkers

    Ташкенбаева Элеонора Негматовна, Muhammad Esankulov, Bustonoy Esankulova +1

    MaqolaChronic Kidney Disease and DiabetesAIP conference proceedings20250 iqtibos
    ABI

  5. Federated Learning Model For Breast Cancer Detection Using Mammogram Images

    Sh.Kh. Fazilov, Kh.S. Abdiyeva, O.R. Yusupov +2

    MaqolaAI in cancer detection20250 iqtibos
    ABI

  6. Algorithm For Generating Synthetic Mammogram Images Based On The Cyclegan Model

    O. R. Yusupov, Kh. S. Abdiyeva, B. S. Esankulova +2

    MaqolaAI in cancer detection20250 iqtibos
    ABI

  7. Remote sensing image segmentation: Methods and evaluation metrics

    Rabbim Yusupov, Erali Eshonqulov, Azamat Qodirov +2

    Boshqa20250 iqtibos
    ABI