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Работы, цитирующие эту работу

Работ: 9

  1. Neural networks for medical image segmentation

    Sobirdjon Radjabov, Akhmad Khashimov, Elmurod Urinov +1

    СтатьяMedical Image Segmentation Techniques2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 8
    ABI

  2. Dynamic Focus on Tumor Boundaries: A Lightweight U-Net for MRI Brain Tumor Segmentation

    Kuldashboy Avazov, Sanjar Mirzakhalilov, Sabina Umirzakova +2

    СтатьяBrain Tumor Detection and ClassificationBioengineering2024Цитирований: 5
    ABI

  3. ISTOA: An Improved Sooty Tern Optimization Algorithm for Multilevel Threshold Image Segmentation

    Reham R. Mostafa, Ahmed M. Khedr, Ahmed Aziz

    ГлаваMedical Image Segmentation TechniquesLecture notes in computer science2023Цитирований: 0
    ABI

  4. A Large-Scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation, and Inferential Behavior

    Jorge R. Quesada, Zhou Chen, Prithwijit Chowdhury +5

    СтатьяSeismology and Earthquake StudiesIEEE Access2025Цитирований: 0
    ABI

  5. Brain tumor segmentation capabilities of 3D deep learning architectures (U-Net, V-Net, Attention U-Net, ResNet-based U-Net, Transformer-based model)

    Otabek Puldajoov, Pooja Pooja, Ambuj Aggarwal

    СтатьяBrain Tumor Detection and ClassificationNeural Computing and Applications2025Цитирований: 0
    ABI

  6. Lung cancer segmentation using deep learning approach

    Muhammad Irfan, B. Pushpa, Subair Ali Liayakath Ali Khan +1

    СтатьяRadiomics and Machine Learning in Medical ImagingAIP conference proceedings2025Цитирований: 0
    ABI

  7. CNN-based segmentation methods in medical imaging

    Khurram Tangirov, Mirkamol Alimov, Islom Mengliyev +1

    СтатьяBrain Tumor Detection and ClassificationAIP conference proceedings2025Цитирований: 0
    ABI

  8. Brain-Tumor Segmentation Using U-Net Neural Network Architecture

    Otabek Puladjonov, Pooja Pooja, Ambuj Aggarwal

    СтатьяBrain Tumor Detection and Classification2025Цитирований: 0
    ABI

  9. Enhancing Medical Imaging with Deep Learning: A Critical Review of Applications and Challenges

    Jamshid Ismailov, Omon Bayitov, Khudoyor Omonov

    СтатьяAdvanced Neural Network Applications2025Цитирований: 0
    ABI