AT-Cascade R-CNN:一种新的基于注意力的卵巢癌病变识别级联R-CNN模型

International Journal of Adaptive and Innovative Systems Pub Date : 2021-09-22 DOI:10.1504/ijais.2021.10041439

Shudong Wang, Lisheng Wang, Lei Wang, Zhiyong Yu, Xiumin Zhao, Xun Wang

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引用次数: 3

摘要

卵巢癌是女性生殖器官最常见的癌症之一。由于卵巢癌与许多病理特征相关，因此大多数计算诊断方法都不能满足

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AT-Cascade R-CNN: a novel attention-based cascade R-CNN model for ovarian cancer lesion identification

Ovarian cancer is one of the most common cancers in female genital organs. Since ovarian cancer is associated with plenty of pathological features, most of the computational diagnostic methods can ...

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International Journal of Adaptive and Innovative Systems

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