以注意力機制改良物件偵測模型進行腕隧道正中神經超音波影像拍攝條件即時評估

洪怡庭 - 臺灣大學生醫電子與資訊學研究所學位論文, 2022 - airitilibrary.com
腕隧道症候群是臨床上常見的神經纏套疾病, 發生原因為腕隧道內的正中神經受周圍組織壓迫
損傷而致. 超音波具有非侵入性, 病患接受度高等優勢, 且近年來證實利用動態超音波可檢測出受 …

基於深度學習之動態超音波影像的電腦輔助正中神經即時偵測方法

蔡宏竹 - 2021 - tdr.lib.ntu.edu.tw
醫學超音波檢查是現今非常普及且有效的診斷方式. 肌肉骨骼超音波因為涉及身體的部位眾多,
解剖結構複雜, 且組織紋理多變, 造成超音波影像辨識難度相當高. 在有限的範例圖譜以及需要 …

NEURO HAND: A weakly supervised Hierarchical Attention Network for interpretable neuroimaging abnormality Detection

D Wood - Authorea Preprints, 2024 - advance.sagepub.com
NEURO HAND: A weakly supervised Hierarchical Attention Network for interpretable
neuroimaging abnormality Detection Page 1 P osted on 15 Jan 2024 — The cop yrigh t …

Hybrid Intelligent Model Fusing Brain Imaging and Cognition Scale Information for AD Diagnosis

X Lin, H Wang, T Zhu, Q Zhu - 2023 3rd International …, 2023 - ieeexplore.ieee.org
At present, most of the data-driven image medical analysis methods in the diagnosis of brain
diseases are difficult to utilize the existing medical expert knowledge, which is unconducive …

A weakly supervised neuroimaging Hierarchical Attention Network for abnormality Detection (NEURO-HAND)

D Wood - Authorea Preprints, 2023 - authorea.com
Clinical neuroimaging data is naturally hierarchical. Different magnetic resonance imaging
(MRI) sequences within a series, different slices covering the head, and different regions …

Multiple instance neuroimage transformer

A Singla, Q Zhao, DK Do, Y Zhou, KM Pohl… - … Workshop on PRedictive …, 2022 - Springer
For the first time, we propose using a multiple instance learning based convolution-free
transformer model, called Multiple Instance Neuroimage Transformer (MINiT), for the …

[HTML][HTML] 遮罩區域卷積類神經網路於醫學影像物件偵測分析應用

CS Kuo - 2020 - ir.lib.ncu.edu.tw
摘要(中) 醫學影像技術一直是用來檢測生物細胞組織或是人體組成與內部結構的有效方案,
其中包含了核磁共振造影, 超音波影像, X 光攝影, 電腦斷層掃描與顯微成像系統等 …

Attention-based full slice brain CT image diagnosis with explanations

G Fu, J Li, R Wang, Y Ma, Y Chen - Neurocomputing, 2021 - Elsevier
Diagnose brain diseases by brain CT images is one of the most common ways. But, it
usually takes several (> 7) years to train a professional doctor because it is very challenging …

NEURO HAND: A weakly supervised Hierarchical Attention Network for neuroimaging abnormality Detection

DA Wood - arXiv preprint arXiv:2311.02992, 2023 - arxiv.org
Clinical neuroimaging data is naturally hierarchical. Different magnetic resonance imaging
(MRI) sequences within a series, different slices covering the head, and different regions …

Vision Transformer and Multiview Classification for Lesion Detection in 3D Cranial Ultrasound

F Estermann, V Kaftandjian, P Guy… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
With increasing advances in the field of medical brain imaging, we can now assess the
presence of punctate white matter lesions (PWML) in the preterm infant. While some studies …