Jul 11, 2023 · We propose a reliable multi-view impartial decision network (MID-Net) for FTD diagnosis in fMRI. Our MID-Net provides confidence for each view and generates a ...

A reliable multi-view impartial decision network (MID-Net) for FTD diagnosis in fMRI provides confidence for each view and generates a reliable prediction ...

Sep 11, 2024 · Overall, our MID-Net dynamically integrates the decisions of different experts on FTD disease, especially when dealing with multi-view high- ...

Jul 11, 2023 · A Multi-view Impartial Decision Network for. Frontotemporal Dementia Diagnosis. Guoyao Deng1, Ke Zou1,3, Meng Wang3, Xuedong Yuan2, Sancong ...

Frontotemporal Dementia (FTD) diagnosis has been successfully progress using deep learning techniques. However, current FTD identification methods suffer ...

为了解决这些局限性，我们提出了一种可靠的多视图公正决策网络（MID-Net），用于fMRI 中的FTD 诊断。我们的MID-Net 为每个视图提供置信度，并生成可靠的预测，没有任何冲突 ...

A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis ... To achieve this, we employ multiple expert models to extract ...

Missing: Impartial | Show results with:Impartial

A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis ... A reliable multi-view impartial decision network (MID-Net) for FTD ...

Jul 4, 2024 · We present an artificial intelligence (AI) model that harnesses a broad array of data, including demographics, individual and family medical history, ...