Radiology report generation with a learned knowledge base and multi-modal alignment [0.03%]
基于多模态对齐和构建知识图的放射学结构化报告生成
Shuxin Yang,Xian Wu,Shen Ge et al.
Shuxin Yang et al.
In clinics, a radiology report is crucial for guiding a patient's treatment. However, writing radiology reports is a heavy burden for radiologists. To this end, we present an automatic, multi-modal approach for report generation from a ches...
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans [0.03%]
金字塔双解码器注意力UNET PDAtt-Unet在CT扫描上的COVID-19感染分割中的应用研究
Fares Bougourzi,Cosimo Distante,Fadi Dornaika et al.
Fares Bougourzi et al.
Since the emergence of the Covid-19 pandemic in late 2019, medical imaging has been widely used to analyze this disease. Indeed, CT-scans of the lungs can help diagnose, detect, and quantify Covid-19 infection. In this paper, we address the...
Tobias Roß,Pierangela Bruno,Annika Reinke et al.
Tobias Roß et al.
Challenges have become the state-of-the-art approach to benchmark image analysis algorithms in a comparative manner. While the validation on identical data sets was a great step forward, results analysis is often restricted to pure ranking ...
Tianyu Ma,Alan Q Wang,Adrian V Dalca et al.
Tianyu Ma et al.
The convolutional neural network (CNN) is one of the most commonly used architectures for computer vision tasks. The key building block of a CNN is the convolutional kernel that aggregates information from the pixel neighborhood and shares ...
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images [0.03%]
自监督细化的双分布差异医学图像异常检测方法
Yu Cai,Hao Chen,Xin Yang et al.
Yu Cai et al.
Medical anomaly detection is a crucial yet challenging task aimed at recognizing abnormal images to assist in diagnosis. Due to the high-cost annotations of abnormal images, most methods utilize only known normal images during training and ...
AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images [0.03%]
一种注意力编码集成对抗网络用于低剂量CT和低剂量PET图像的重建
Yu Fu,Shunjie Dong,Meng Niu et al.
Yu Fu et al.
X-ray computed tomography (CT) and positron emission tomography (PET) are two of the most commonly used medical imaging technologies for the evaluation of many diseases. Full-dose imaging for CT and PET ensures the image quality but usually...
Kailu Li,Ziniu Qian,Yingnan Han et al.
Kailu Li et al.
Accurate segmentation in histopathology images at pixel-level plays a critical role in the digital pathology workflow. The development of weakly supervised methods for histopathology image segmentation liberates pathologists from time-consu...
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI [0.03%]
基于稀疏表示的用于扩散MRI的微结构估计Transformer
Tianshu Zheng,Guohui Yan,Haotian Li et al.
Tianshu Zheng et al.
Diffusion magnetic resonance imaging (dMRI) is an important tool in characterizing tissue microstructure based on biophysical models, which are typically multi-compartmental models with mathematically complex and highly non-linear forms. Re...
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark [0.03%]
基于HeiChole基准的手术流程和技能分析机器学习算法的对比验证
Martin Wagner,Beat-Peter Müller-Stich,Anna Kisilenko et al.
Martin Wagner et al.
Purpose: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warni...
Multicenter Study
Medical image analysis. 2023 May:86:102770. DOI:10.1016/j.media.2023.102770 2023
SpineRegNet: Spine Registration Network for volumetric MR and CT image by the joint estimation of an affine-elastic deformation field [0.03%]
基于联合估计仿射弹性形变场的体积MR和CT图像脊柱配准网络
Lei Zhao,Shumao Pang,Yangfan Chen et al.
Lei Zhao et al.
Spine registration for volumetric magnetic resonance (MR) and computed tomography (CT) images plays a significant role in surgical planning and surgical navigation system for the radiofrequency ablation of spine intervertebral discs. The af...