Yuebin Liang

Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning

Jialiang Yang, Jie Ju, Lei Guo et al. · Computational and Structural Biotechnology Journal · 2021 · 228 citations · Full text

Medicine, Computer Science, Oncology +17

A Neural Network Framework for Predicting the Tissue-of-Origin of 15 Common Cancer Types Based on RNA-Seq Data

Binsheng He, Yanxiang Zhang, Zhen Zhou et al. · Frontiers in Bioengineering and Biotechnology · 2020 · 85 citations · Full text

Life Sciences, Bioinformatics, Oncology +17

A New Method for CTC Images Recognition Based on Machine Learning

Binsheng He, Qingqing Lu, Jidong Lang et al. · Frontiers in Bioengineering and Biotechnology · 2020 · 85 citations · Full text

Computing, Computer Science, Pathology +17

Cervical Cancer Metastasis and Recurrence Risk Prediction Based on Deep Convolutional Neural Network

Zixuan Ye, Yunxiang Zhang, Yuebin Liang et al. · Current Bioinformatics · 2021 · 75 citations

Computing, Computer Science, Pathology +17

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data

Yuhua Yao, Yaping Lv, Ling Tong et al. · Briefings in Bioinformatics · 2022 · 62 citations

Computing, Computer Science, Oncology +17