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22 ta ish

Ish: Modified ResNet model for breast cancer classification using mammogram images

  1. 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

  2. Analysis of pansharpening methods for multispectral satellite imagery

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

    MaqolaAdvanced Image Fusion TechniquesAIP conference proceedings202412 iqtibos
    ABI

  3. 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

  4. 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

  5. Breast Density Analysis Using an Automatic Density Segmentation Algorithm

    Arnau Oliver, Meritxell Tortajada, Xavier Lladó +6

    Maqola20153 iqtibos
    ABI

  6. Automatic Segmentation and Classification of Masses from Digital Mammograms

    Basma A. Mohamed, Nancy M. Salem, Marwa M. A. Hadhoud +1

    Maqola20163 iqtibos
    ABI

  7. A breast tumors segmentation and elimination of pectoral muscle based on hidden markov and region growing

    Soukaina El Idrissi El Kaitouni, Abdelghafour Abbad, Hamid Tairi

    Maqola20182 iqtibos
    ABI

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