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Работы, цитирующие эту работу

Работ: 7

Работа: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

  1. 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

  2. An Integrated Architecture for Colorectal Polyp Segmentation: The µ-Net Framework with Explainable AI

    Md Mehedi Hasan Emon, Proloy Kumar Mondal, Md Ariful Islam Mozumder +4

    СтатьяColorectal Cancer Screening and DetectionDiagnostics2025Цитирований: 1
    ABI

  3. Prototype-based Incremental Few-Shot Semantic Segmentation

    Fabio Cermelli, Massimiliano Mancini, Yongqin Xian +2

    ПрепринтDomain Adaptation and Few-Shot LearningarXiv (Cornell University)2020Цитирований: 0
    ABI

  4. Advanced Approaches for Skin Cancer Identification: Training Transmission and Hummingbird Recovery

    Himanshu Sharma, Sonali Pawar, M. B Marasulov +3

    СтатьяCutaneous Melanoma Detection and Management2024Цитирований: 0
    ABI

  5. Gastric Ulcer Detection in Endoscopic Images Using MobileNetV3-Small

    Temurbek Kuchkorov, N. Q. Sabitova, Temur Ochilov

    ГлаваGastrointestinal Bleeding Diagnosis and TreatmentLecture notes in computer science2024Цитирований: 0
    ABI

  6. Federated learning-based semantic segmentation framework for sustainable development

    Deepthi Godavarthi, Deepa Jose, Sachi Nandan Mohanty +4

    СтатьяHuman Mobility and Location-Based AnalysisEgyptian Informatics Journal2025Цитирований: 0
    ABI

  7. Shrub Extraction in Arid Regions Based on Feature Enhancement and Transformer Network from High-Resolution Remote Sensing Images

    Hao Liu, Wenjie Zhang, Yong Cheng +9

    СтатьяRemote Sensing in AgricultureForests2025Цитирований: 0
    ABI