Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning - researchr publication related

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Yue Huang, Han Zheng, Chi Liu, Gustavo K. Rohde, Delu Zeng, Jiaqi Wang, Xinghao Ding. Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017. pages 1073-1077, IEEE, 2017. [doi]

The following publications are possibly variants of this publication:

Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological ImagesYue Huang, Han Zheng, Chi Liu, Xinghao Ding, Gustavo K. Rohde. titb, 21(6):1625-1632, 2017. [doi]

Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological ImagesQi Qi 0005, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang 0001, Xinghao Ding, Xiaoqing Liu, Yizhou Yu. titb, 25(4):1163-1172, 2021. [doi]

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classificationYue Du, Roy Zhang, Abolfazl Zargari, Theresa C. Thai, Camille C. Gunderson, Katherine M. Moxley, Hong Liu, Bin Zheng, Yuchen Qiu. midp 2018: 1058116 [doi]

Histopathological image classification with bilinear convolutional neural networksChaofeng Wang, Jun Shi, Qi Zhang, Shihui Ying. embc 2017: 4050-4053 [doi]

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