CSMViT: A Lightweight Transformer and CNN fusion Network for Lymph Node Pathological Images Diagnosis

To address the burdensome and time-consuming nature of manual diagnosis of pathological sections, this study proposes an automated pathological image detection system. This system can directly detect pathological images and accurately locate lesion tissues, providing a reference for pathological dia...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.155365-155378
Hauptverfasser:	Jiang, Peihe, Xu, Yukun, Wang, Chunni, Zhang, Wei, Lu, Ning
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Biomedical imaging Classification Classification algorithms Complexity Computational modeling Computer vision Convolutional neural networks Diagnosis Effectiveness Feature extraction Feature maps Image detection Image enhancement Image segmentation lightweight network lymph node Lymph nodes Machine learning Medical imaging Metastasis Modules Parameter modification pathological images Pathology transformer Transformers
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