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Jan 16, 2018 · To address these issues, we propose a multi-task deep learning (MDL) method for joint hippocampus segmentation and clinical score regression ...
The experimental results suggest that the proposed multi-task deep learning (MDL) method achieves promising results in both tasks of hippocampus ...
Multi-task neural networks for joint hippocampus segmentation and clinical score regression. Language: English; Authors: Cao, Liang1. Li, Long1. Yin, Feng1
To address these issues, we propose a multi-task deep learning (MDL) method for joint hippocampus segmentation and clinical score regression using MR images.
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A multi-task deep learning (MDL) method was proposed for joint hippocampal segmentation and clinical score regression using MRI scans (Cao et al., 2018). Given ...
Illustration of the proposed multi-task deep learning (MDL) framework for joint hippocampus segmentation and clinical score regression.
Sep 12, 2018 · In this paper, we propose a joint learning framework for brain disease classification and clinical score regression. In general, there are ...
Multi-task neural networks for joint hippocampus segmentation and clinical score regression. Multimedia Tools and Applications, 77, 29669-29686. Carmo, D ...
Feb 29, 2024 · The study used an improved VGG16 network for feature extraction of MRI data as the main task, and used the CDR score regression and the MMSE ...
Missing: hippocampus | Show results with:hippocampus
Oct 31, 2021 · [35] proposed a multi-task neural network for joint hippocampus segmentation and regression of mini-mental state examination score using MRI.