Titlebook: Applications of Medical Artificial Intelligence; Second International Shandong Wu,Behrouz Shabestari,Lei Xing Conference proceedings 2024 T

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,Enhancing Clinical Support for?Breast Cancer with?Deep Learning Models Using Synthetic Correlated D As such, there has been immense research and progress on improving screening and clinical support for breast cancer. In this paper, we investigate enhancing clinical support for breast cancer with deep learning models using a newly introduced magnetic resonance imaging (MRI) modality called synthet

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Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images, such as disease diagnostics and biomedical research. However, the existing predominant techniques harnessed for immunobiomarker labeling, such as immunofluorescence (IF) and immunohistochemistry (IHC), are marred by shortcomings such as inconsistent specificity, cost/time-intensive staining procedu

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,M U-Net: Intestine Segmentation Using Multi-dimensional Features for?Ileus Diagnosis Assistance,ation to intestine obstruction diagnosis assistance called multi-dimensional U-Net (M U-Net). We employ two encoders to extract features from two-dimensional (2D) CT slices and three-dimensional (3D) CT patches. These two encoders collaborate to enhance the segmentation accuracy of the model. Additi

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,Enhancing Cardiac MRI Segmentation via?Classifier-Guided Two-Stage Network and?All-Slice Informatio, and LV myocardium (MYO) in CMR images is crucial but time-consuming. Deep learning-based segmentation methods have emerged as effective tools for automating this process. However, CMR images present additional challenges due to irregular and varying heart shapes, particularly in basal and apical s

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,Accessible Otitis Media Screening with?a?Deep Learning-Powered Mobile Otoscope,lack trained ear specialists, which prevents millions from being diagnosed and treated while causing severe complications. Currently, there is no viable diagnostic system for inexpensively and accurately detecting such ear conditions. This research presents OtoScan, a novel pipeline for the detectio

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Applications of Medical Artificial Intelligence978-3-031-47076-9Series ISSN 0302-9743 Series E-ISSN 1611-3349