Peng Wang

Transfer Learning of Pre- Trained Inception-V3 Model for Colorectal Cancer Lymph Node Metastasis Classification

Jin Li, Peng Wang, Yanzhao Li, 2018, 2018 IEEE International Conference on Mechatronics and Automation (ICMA).

Different Machine Learning and Deep Learning Methods for the Classification of Colorectal Cancer Lymph Node Metastasis Images

Jin Li, Peng Wang, Yang Zhou, 2021, Frontiers in Bioengineering and Biotechnology.

Deep transfer learning based on magnetic resonance imaging can improve the diagnosis of lymph node metastasis in patients with rectal cancer.

Jin Li, Peng Wang, Yang Zhou, 2021, Quantitative imaging in medicine and surgery.

Integrative 30 Untranslated Region-Based Model to Identify Patients with Low Risk of Axillary Lymph Node Metastasis in Operable Triple-Negative Breast Cancer

Peng Wang, Lei Wang, Zhi, 2019 .

USP20 is a predictor of poor prognosis in colorectal cancer and associated with lymph node metastasis, immune infiltration and chemotherapy resistance

Peng Wang, Qing Tao, Chunyan Zeng, 2023, Frontiers in Oncology.

Prediction model for lymph node metastasis in superficial colorectal cancer: a better choice than computed tomography.

Peng Wang, Youxiang Chen, Chunyan Zeng, 2023, Surgical endoscopy.

A novel classification method of lymph node metastasis in colorectal cancer

Jin Li, Peng Wang, Yang Zhou, 2021, Bioengineered.

A system based on deep convolutional neural network improves the detection of early gastric cancer

Peng Wang, Yi Yu, L. Gao, 2022, Frontiers in Oncology.