. 2022. Retrieved April 1, 2024, from https://www.kaggle.com/datasets/uraninjo/augmented-alzheimer-mri-dataset Abbreviations AD: Alzheimer’s disease Adam: Adaptive moment estimation AdaGrad: Adaptive gradient algorithm AUC: Area under the curve AWS: Amazon web services CAD: Computer-...
在判断海马体是否萎缩时,医生通常需要对磁共振成像(magnetic resonance imaging,MRI)中的海马体结构进行分割,并进行形状和体积分析。由于海马体属于灰质结构,在MRI图像中与周围组织对比度低,而且海马的形状不规则、体积较小、边缘无明显界线、个体差异性大,从磁共振图像上自动分割海马体结构仍是一项具有挑战性的任务。
to be held at Harvard Law School on June 2-3, 2025. Twelve to twenty junior scholars (with one to seven years in teaching) will be chosen, through a double-blind selection process, to present their work at the Forum. A senior scholar will comment on ...
In the front part, a 2D neural network is used to segment brain tumor magnetic resonance imaging (MRI). Although the proposed IResUnet3+ network has been significantly improved, there are still some false alarms in the normal tissue areas around the brain tumor, i.e., many outliers are pr...
They compared prediction results with and without magnetic resonance imaging (MRI) characteristics during the prediction stage. Pei et al.43 proposed a DL-based technique for brain tumor classification, which was divided into two parts. The first step was to segment a brain tumor on a multimodal...
The purpose of this study was to construct a fully automatic segmentation model for lumbar bone marrow (BM) in a high resolution T1-weighted magnetic resonance imaging. Forty-four healthy controls and 56 subjects with various types of hematologic diseases received MRI of the lumbar spines, and lu...
Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification 2023, Academic Radiology Citation Excerpt : The feature maps before the global pooling layers were extracted to generate the probability maps, which could identify th...
A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI Accurate and efficient automated tumor segmentation in breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is highly desirable for comput... Y Ning,W Jia,SP Weinstein,... - Spie Medical Imaging 被引量...
Medical imaging is an approach that generates interior visual representations of the hidden internal structures inside the human body. This process could be applied noninvasively such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT), X-ray, Ultrasound (US), endoscope, ophthalmoscopy, and...
They compared prediction results with and without magnetic resonance imaging (MRI) characteristics during the prediction stage. Pei et al.43 proposed a DL-based technique for brain tumor classification, which was divided into two parts. The first step was to segment a brain tumor on a multi-...