Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline.

• Tác giả: Andrea C Bozoki, Yuqi Fang, Mingxia Liu, Yunbi Liu, Shifu Xiao, Minhui Yu, Ling Yue
• Ngôn ngữ: eng
• Ký hiệu phân loại: 004.619 *Hybrid and analog computers
• Thông tin xuất bản: United States : Neural networks : the official journal of the International Neural Network Society , 2025
• Bộ sưu tập: NCBI
• ID: 691444
• Chủ đề: 1. Hybrid; 2. Multi; 3. Modality

Tóm tắt

While numerous studies strive to exploit the complementary potential of MRI and PET using learning-based methods, the effective fusion of the two modalities remains a tricky problem due to their inherently distinctive properties. In addition, current studies often face the problem of small sample sizes and missing PET data due to factors such as patient withdrawal or low image quality. To this end, we propose a hybrid multi-modality multi-task learning (HM