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Publisher Correction: A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images

机译：出版商纠正：全载乳房病理图像中快速和精致的癌症区分割框架

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Zichao Guo; Hong Liu; Haomiao Ni; Xiangdong Wang; Mingming Su; Wei Guo; Kuansong Wang; Taijiao Jiang; Yueliang Qian;
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1. A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images [J] . Zichao Guo, Hong Liu, Haomiao Ni, Scientific reports. . 2019,第1期

机译：全幻灯片乳腺癌病理图像中的快速和精细的癌症区域分割框架。
2. Automatic segmentation of whole-slide H&E stained breast histopathology images using a deep convolutional neural network architecture [J] . Maria Priego-Torres Blanca, Sanchez-Morillo Daniel, Angel Fernandez-Granero Miguel, Expert systems with applications . 2020,第Auga期

机译：使用深卷积神经网络架构自动分割全载H＆E染色乳腺组织病理学图像
3. Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection [J] . Lin Huangjing, Chen Hao, Graham Simon, IEEE Transactions on Medical Imaging . 2019,第8期

机译：Fast ScanNet：用于癌症转移检测的多千兆像素全幻灯片图像的快速密集分析
4. Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images [C] . Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, International conference on medical imaging computing and computer-assisted intervention;International workshop on deep learning in medical image analysis;International workshop on multimodal learning for clinical decision support . 2018

机译：增强型自动缩放网络：在完整幻灯片图像中实现准确快速的乳腺癌分割
5. Segmentation of tumor regions in microscopic images of breast cancer tissue. [D] . Abid, Dhoha. 2016

机译：乳腺癌组织显微图像中的肿瘤区域分割。
6. A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images [O] . Zichao Guo, Hong Liu, Haomiao Ni, -1

机译：全幻灯片乳腺癌病理图像中的快速和精细的癌症区域分割框架。
7. A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images [O] . Zichao Guo, Hong Liu, Haomiao Ni, 2019

机译：全载乳房病理图像中快速和精致的癌症区分割框架

Publisher Correction: A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images

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