Hugo Pereira,Luis Romero,Pedro Miguel Faria
Hugo Pereira
The standard for managing image data in healthcare is the DICOM (Digital Imaging and Communications in Medicine) protocol. DICOM web-viewers provide flexible and accessible platforms for their users to view and analyze DICOM images remotely...
Kubilay Muhammed Sunnetci,Esat Kaba,Fatma Beyazal Celiker et al.
Kubilay Muhammed Sunnetci et al.
The differentiation of benign and malignant parotid gland tumors is of major significance as it directly affects the treatment process. In addition, it is also a vital task in terms of early and accurate diagnosis of parotid gland tumors an...
Identification of Bipolar Disorder and Schizophrenia Based on Brain CT and Deep Learning Methods [0.03%]
基于大脑CT和深度学习方法的精神分裂症和双相情感障碍识别研究
Meilin Li,Xingyu Hou,Wanying Yan et al.
Meilin Li et al.
With the increasing prevalence of mental illness, accurate clinical diagnosis of mental illness is crucial. Compared with MRI, CT has the advantages of wide application, low price, short scanning time, and high patient cooperation. This stu...
BSNEU-net: Block Feature Map Distortion and Switchable Normalization-Based Enhanced Union-net for Acute Leukemia Detection on Heterogeneous Dataset [0.03%]
基于块特征图扭曲和可切换归一化的急性白血病检测增强型联合网络 BSNEU-net（处理异构数据集）
Rabul Saikia,Roopam Deka,Anupam Sarma et al.
Rabul Saikia et al.
Acute leukemia is characterized by the swift proliferation of immature white blood cells (WBC) in the blood and bone marrow. It is categorized into acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML), depending on whether th...
A Large Language Model to Detect Negated Expressions in Radiology Reports [0.03%]
用于检测放射学报告中否定表达的大规模语言模型
Yvonne Su,Yonatan B Babore,Charles E Kahn Jr
Yvonne Su
Natural language processing (NLP) is crucial to extract information accurately from unstructured text to provide insights for clinical decision-making, quality improvement, and medical research. This study compared the performance of a rule...
Automatic Segmentation of Ultrasound-Guided Quadratus Lumborum Blocks Based on Artificial Intelligence [0.03%]
基于人工智能的超声引导腰方阻滞自动划分技术
Qiang Wang,Bingxi He,Jie Yu et al.
Qiang Wang et al.
Ultrasound-guided quadratus lumborum block (QLB) technology has become a widely used perioperative analgesia method during abdominal and pelvic surgeries. Due to the anatomical complexity and individual variability of the quadratus lumborum...
Cross-site Validation of AI Segmentation and Harmonization in Breast MRI [0.03%]
跨站点验证乳腺MRI中的人工智能分割和标准化技术
Yu Huang,Nicholas J Leotta,Lukas Hirsch et al.
Yu Huang et al.
This work aims to perform a cross-site validation of automated segmentation for breast cancers in MRI and to compare the performance to radiologists. A three-dimensional (3D) U-Net was trained to segment cancers in dynamic contrast-enhanced...
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images [0.03%]
基于CT图像的肾细胞癌病理分类的不确定性估计的鲁棒深度学习方法
Ni Yao,Hang Hu,Kaicong Chen et al.
Ni Yao et al.
This study developed and validated a deep learning-based diagnostic model with uncertainty estimation to aid radiologists in the preoperative differentiation of pathological subtypes of renal cell carcinoma (RCC) based on computed tomograph...
Uncertainty Estimation for Dual View X-ray Mammographic Image Registration Using Deep Ensembles [0.03%]
基于深度集成的双视图乳腺X射线图像配准不确定度估计
William C Walton,Seung-Jun Kim
William C Walton
Techniques are developed for generating uncertainty estimates for convolutional neural network (CNN)-based methods for registering the locations of lesions between the craniocaudal (CC) and mediolateral oblique (MLO) mammographic X-ray imag...
A Self-Supervised Equivariant Refinement Classification Network for Diabetic Retinopathy Classification [0.03%]
自监督等变精炼分类网络的糖尿病视网膜病变分类方法
Jiacheng Fan,Tiejun Yang,Heng Wang et al.
Jiacheng Fan et al.
Diabetic retinopathy (DR) is a retinal disease caused by diabetes. If there is no intervention, it may even lead to blindness. Therefore, the detection of diabetic retinopathy is of great significance for preventing blindness in patients. M...