MSF-VMDNet for Multi-Class Segmentation of Skin Cancer Whole Slide Images Using a Multi-Frequency Dual Encoder Network

    April 2026 in “ Scientific Reports
    Jiangliang Zhang, Qiumei Pu, Jinglong Tian, Junhao Wang, Jieyao Wei, Menghan Yang, Lina Zhao
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    Studysummary In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.
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