most citedSurvival Prediction Across Diverse Cancer Types Using Neural Networks

5 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Research on Brain Tumor Classification Method Based on Improved ResNet34 Network

Yufeng Li, Wenchao Zhao, Bo Dang +1

Previously, image interpretation in radiology relied heavily on manual methods. However, manual classification of brain tumor medical images is time-consuming and labor-intensive.…

q-bio.QM20241 cited

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning

Yufeng Li, Wenchao Zhao, Bo Dang +4

In clinical treatment, identifying potential adverse reactions of drugs can help assist doctors in making medication decisions. In response to the problems in previous studies that…

eess.IV20245 cited

Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example

MingXuan Xiao, Yufeng Li, Xu Yan +2

Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis often relies on the pathology of cells in the lesion. The pathological diagnosis of breast ca…

eess.IV20245 cited

Survival Prediction Across Diverse Cancer Types Using Neural Networks

Xu Yan, Weimin Wang, MingXuan Xiao +2

Gastric cancer and Colon adenocarcinoma represent widespread and challenging malignancies with high mortality rates and complex treatment landscapes. In response to the critical ne…

eess.IV2024

Breast Cancer Image Classification Method Based on Deep Transfer Learning

Weimin Wang, Yufeng Li, Xu Yan +2

To address the issues of limited samples, time-consuming feature design, and low accuracy in detection and classification of breast cancer pathological images, a breast cancer imag…