Feb 28, 2020 · Experimental results indicate that the proposed method can achieve the state-of-the-art skin lesion classification performance (i.e., an AP ...
Abstract—Precise skin lesion classification is still challenging due to two problems, i.e., (1) inter-class similarity and intra-class.
GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed ...
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A Global-Part Convolutional Neural Network (GP-CNN) model, which treats the fine-grained local information and global context information with equal ...
Oct 5, 2020 · In this paper, we propose a global-part model with color constant ensemble learning for the skin lesion classification. Quantitative and ...
Dec 27, 2022 · GP-CNN-DTEL: Global-part CNN model with data-transformed ensemble learning for skin lesion classification. IEEE J. Biomed. Health Inform ...
et al. GP-CNN-DTEL: Global-part CNN model with data-transformed ensemble learning for skin lesion classification. IEEE J. Biomed. Health Inf. (2020). ZhangJ ...
GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification · Efficient skin lesion segmentation using separable- ...
Aug 22, 2023 · GP-CNN-DTEL: Global-part CNN model with data-transformed ensemble learning for skin lesion classification. IEEE Journal of Biomedical and ...
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) ...
GP-CNN-DTEL: Global-Part CNN Model with Data-Transformed Ensemble Learning for Skin Lesion Classification ... Global-Part Convolutional Neural Network (GP-CNN) ...