most citedDistributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection

10 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2024★ 10 cited

Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection

Lisang Zhou, Meng Wang, Ning Zhou

Distributed training can facilitate the processing of large medical image datasets, and improve the accuracy and efficiency of disease diagnosis while protecting patient privacy, w…

q-bio.QM2022

TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning

Meng Wang, Chuqi Lei, Jianxin Wang +2

Human leukocyte antigen (HLA) is an important molecule family in the field of human immunity, which recognizes foreign threats and triggers immune responses by presenting peptides…

eess.IV2022★ 1 cited

TBraTS: Trusted Brain Tumor Segmentation

Ke Zou, Xuedong Yuan, Xiaojing Shen +2

Despite recent improvements in the accuracy of brain tumor segmentation, the results still exhibit low levels of confidence and robustness. Uncertainty estimation is one effective…