A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer [0.03%]
基于人工智能的前列腺癌病理分级的数据变异性系统分析
Patrick Fuhlert,Fabian Westhaeusser,Esther Dietrich et al.
Patrick Fuhlert et al.
The histopathological evaluation of biopsies by human experts is a gold standard in clinical disease diagnosis. While recent artificial intelligence-based (AI) approaches have reached human expert-level performance, they often display short...
PASB: Pathology-aware Schrödinger bridge for virtual immunohistochemical staining [0.03%]
基于病理的薛定谔桥本体染色虚拟免疫组化染色技术
Fanhao Qiu,Yangyang Zhang,Zhen-Li Huang et al.
Fanhao Qiu et al.
Virtual immunohistochemistry (IHC) staining automatically translates Hematoxylin and Eosin (H&E) images into IHC images using deep generative models, enabling automation of IHC staining. Weakly supervised methods for virtual IHC staining le...
Openness-aware multi-prototype learning for open set medical diagnosis [0.03%]
基于 openness 的多原型开放集医学诊断方法
Mingyuan Liu,Lu Xu,Yuzhuo Gu et al.
Mingyuan Liu et al.
Unlike the prevalent image classification paradigm that assumes all samples belong to pre-defined classes, Open set recognition (OSR) indicates that new classes unobserved during training could appear in testing. It mandates a model to not ...
Direction-Aware convolution for airway tubular feature enhancement network [0.03%]
基于方向的卷积增强气道管状特征的神经网络
Qibiao Wu,Yagang Wang,Qian Zhang
Qibiao Wu
Manual annotation of airway regions in computed tomography images is a time-consuming and expertise-dependent task. Automatic airway segmentation is therefore a prerequisite for enabling rapid bronchoscopic navigation and the clinical deplo...
Scaling up self-supervised learning for improved surgical foundation models [0.03%]
扩大自监督学习以改进手术基础模型规模
Tim J M Jaspers,Ronald L P D de Jong,Yiping Li et al.
Tim J M Jaspers et al.
Foundation models have revolutionized computer vision by achieving vastly superior performance across diverse tasks through large-scale pretraining on extensive datasets. However, their application in surgical computer vision has been limit...
ModeTv2: GPU-accelerated motion decomposition transformer for pairwise optimization in medical image registration [0.03%]
基于GPU加速的运动分解变压器在医学图像配准中成对优化的应用模式电视二期
Haiqiao Wang,Zhuoyuan Wang,Dong Ni et al.
Haiqiao Wang et al.
Deformable image registration plays a crucial role in medical imaging, aiding in disease diagnosis and image-guided interventions. Traditional iterative methods are slow, while deep learning (DL) accelerates solutions but faces usability an...
Zhiqiang Shen,Peng Cao,Junming Su et al.
Zhiqiang Shen et al.
Mix-up is a key technique for consistency regularization-based semi-supervised learning methods, blending two or more images to generate strong-perturbed samples for strong-weak pseudo supervision. Existing mix-up operations are performed e...
Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy [0.03%]
用于预测婴儿期个性化功能连接组发育的三元纵向掩码自动编码器
Weiran Xia,Xin Zhang,Dan Hu et al.
Weiran Xia et al.
Brain functional connectivity (FC) constructed from resting-state functional MRI (rs-fMRI) is the predominant method for studying brain functional organization of infants. Predicting the full dynamic developmental trajectory of infant FC fr...
Iterative learning for joint image denoising and motion artifact correction of 3D brain MRI [0.03%]
用于3D脑MRI图像去噪和运动伪影校正的迭代学习方法研究
Lintao Zhang,Mengqi Wu,Lihong Wang et al.
Lintao Zhang et al.
Image noise and motion artifacts greatly affect the quality of brain magnetic resonance imaging (MRI) and negatively influence downstream medical image analysis. Previous studies often focus on 2D methods that process each volumetric MR ima...
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR [0.03%]
用于低剂量CT材料分解的提示引导多尺度自适应稀疏表示驱动网络
Baoshun Shi,Bing Chen,Shaolei Zhang et al.
Baoshun Shi et al.
Low-dose CT (LDCT) is capable of reducing X-ray radiation exposure, but it will potentially degrade image quality, even yields metal artifacts at the case of metallic implants. For simultaneous LDCT reconstruction and metal artifact reducti...