日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

3D pathology-guided microdissection

三维病理引导显微切割

Hsieh, Huai-Ching; Gao, Gan; Han, Qinghua; Brenes, David; Baraznenok, Elena; Yan, Renao; Serafin, Robert; Bishop, Kevin W; Wang, Rui; Konnick, Eric Q; Pritchard, Colin C; Figiel, Sandy; Hamdy, Freddie C; Mills, Ian G; Reder, Nicholas P; Reddi, Deepti M; Paulson, Thomas G; Grady, William M; Valk, Jacob E; True, Lawrence D; Haffner, Michael C; Rao, Srinivasa R; Woodcock, Dan J; Liu, Jonathan T C

Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments

利用深度学习对3D病理数据集进行分诊,以实现全面高效的病理学家评估

Gao, Gan; Yan, Renao; Song, Andrew H; Hsieh, Huai-Ching; Barner, Lindsey A Erion; Wang, Fiona; Brenes, David; Chow, Sarah S L; Wang, Rui; Bishop, Kevin W; Liu, Yongjun; Farre, Xavier; Divatia, Mukul; Downes, Michelle R; Vakar-Lopez, Funda; Lal, Priti; Burke, Wynn; Madabhushi, Anant; True, Lawrence D; Reddi, Deepti M; Grady, William M; Mahmood, Faisal; Liu, Jonathan T C

A deep learning method for predicting the origins of cervical lymph node metastatic cancer on digital pathological images

一种基于深度学习的预测数字病理图像中颈部淋巴结转移癌起源的方法

Zheng, Runliang; Wang, Xuenian; Zhu, Lianghui; Yan, Renao; Li, Jiawen; Wei, Yani; Zhang, Fenfen; Du, Hong; Guo, Linlang; He, Yonghong; Shi, Huijuan; Han, Anjia

An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological images.

利用深度学习技术对数字病理图像进行分析,准确预测骨转移癌的起源

Zhu Lianghui, Shi Huijuan, Wei Huiting, Wang Chengjiang, Shi Shanshan, Zhang Fenfen, Yan Renao, Liu Yiqing, He Tingting, Wang Liyuan, Cheng Junru, Duan Hufei, Du Hong, Meng Fengjiao, Zhao Wenli, Gu Xia, Guo Linlang, Ni Yingpeng, He Yonghong, Guan Tian, Han Anjia