Enhancing the Accuracy of Lymph-Node-Metastasis Prediction in Gynecologic Malignancies Using Multimodal Federated Learning: Integrating CT, MRI, and PET/CT

Enhancing the Accuracy of Lymph-Node-Metastasis Prediction in Gynecologic Malignancies Using Multimodal Federated Learning: Integrating CT, MRI, and PET/CT

Gynecological malignancies, particularly lymph node metastasis, have presented a diagnostic challenge, even with traditional imaging techniques such as CT, MRI, and PET/CT. This study was conceived to explore and, subsequently, to bridge this diagnostic gap through a more holistic and innovative app...

Full description

Bibliographic Details
Main Authors: Zhijun Hu, Ling Ma, Yue Ding, Xuanxuan Zhao, Xiaohua Shi, Hongtao Lu, Kaijiang Liu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Cancers
Subjects:
gynecological malignancies
lymph node metastasis
multimodal federated learning
multilayer perceptron
convolutional neural network
Online Access:https://www.mdpi.com/2072-6694/15/21/5281

Internet

https://www.mdpi.com/2072-6694/15/21/5281

Similar Items