... skin lesions classification using machine learning ... GP-CNN-DTEL: Global-part CNN model with data-transformed ensemble learning for skin lesion classification.
GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification · Pen TangQ. LiangXintong YanShao XiangDan Zhang.
Nov 24, 2022 · The authors in [39] proposed an ensemble learning strategy termed the global-part CNN model with data-transformed ensemble learning (GP-CNN-DTEL) ...
Aug 22, 2023 · GP-CNN-DTEL: Global-part CNN model with data-transformed ensemble learning for skin lesion classification. IEEE Journal of Biomedical and ...
GP-CNN-DTEL: Global-Part CNN Model with Data-Transformed Ensemble Learning for Skin Lesion Classification. Article. Feb 2020. Peng Tang ...
GP-CNN-DTEL: Global-Part CNN Model with Data-Transformed Ensemble Learning for. Skin Lesion Classification. IEEE Journal of Biomedical and Health. Informatics ...
Jan 4, 2022 · ... GP-CNN-DTEL: global-part CNN model with data-transformed ensemble learning for skin lesion classification. IEEE J Biomed Health Inform 24(10): ...
GP-CNN-DTEL: Global-Part CNN Model with Data-Transformed Ensemble Learning for Skin Lesion Classification. IEEE J. Biomed. Health Inform. 2020, 24, 2870 ...
A multi-stage multi-modal learning algorithm for multi-label skin lesion ...
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Tang, GP-CNN-DTEL: global-part CNN model with data-transformed ensemble learning for skin lesion classification, IEEE J. Biomed. Health Inform., № 24, с ...
Feb 16, 2021 · ... machine learning techniques ... Gp-cnn-dtel: Global-part cnn model with data-transformed ensemble learning for skin lesion classification.