Su, Hai

Deep learning in microscopy image analysis: a survey

Xing, F., Xie, Y., Su, H., Liu, F., & Yang, L. (2018) · IEEE Transactions on Neural Networks and Learning Systems

Cell Image Analysis TechniquesAdvanced Neural Network Applications

Cited by 460

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Zhang, Z., Chen, P., McGough, M., Xing, F., Wang, C., Bui, M., Xie, Y., Sapkota, M., Cui, L., Dhillon, J., et al. (2019) · Nature Machine Intelligence

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 311

High-throughput histopathological image analysis via robust cell segmentation and hashing

Zhang, X., Xing, F., Su, H., Yang, L., & Zhang, S. (2015) · Medical Image Analysis

AI in cancer detectionCell Image Analysis Techniques

Cited by 87

Breast mass classification via deeply integrating the contextual information from multi-view data

Wang, H., Feng, J., Zhang, Z., Su, H., Cui, L., He, H., & Liu, L. (2018) · Pattern Recognition

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 68

INTEGRATIVE ANALYSIS FOR LUNG ADENOCARCINOMA PREDICTS MORPHOLOGICAL FEATURES ASSOCIATED WITH GENETIC VARIATIONS

WANG, C., SU, H., YANG, L., & HUANG, K. (2017) · Biocomputing 2017

Radiomics and Machine Learning in Medical ImagingCancer Genomics and Diagnostics

Cited by 9