| Citation: | GUO Feng. Research on Refinement of Process Net[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 94-97,228. doi: 10.19695/j.cnki.cn12-1369.2021.01.30
|
| [1] |
陈颖,魏培莲,潘军,等.数字化全玻片助力人工智能病理图像决策[J].第二军医大学学报,2018,39(8):840-845.
|
| [2] |
张泽中,高敬阳,吕纲,等.基于深度学习的胃癌病理图像分类方法[J].计算机科学,2018,45(11A):263-268.
|
| [3] |
ZHAO H,SHI J,QI X,et al.Pyramid scene parsing network[C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition.Washington,DC:IEEE Computer Society,2017:6230-6239.
|
| [4] |
ZHU W,XIANG X,TRAN T D,et al.Adversarial deep structured nets for mass segmentation from mammograms[C]//Proceedings of the 2018 IEEE 15th International Symposium on Biomedical Imaging.Piscataway:IEEE[C]//Proceedings of the 2018 IEEE 15th International Symposium on Biomedical Imaging.Piscataway:IEEE,2018:847-850.
|
| [5] |
何雪英,韩忠义,魏本征.基于深度学习的乳腺癌病理图像自动分类[J].计算机工程与应用,2018,54(12):121-125.
|
DownLoad: