TomoGraphView: 3D medical image classification with omnidirectional slice representations and graph neural networks [0.03%]
基于全方位切片表示和图神经网络的3D医疗图像分类方法-TomoGraphView
Johannes Kiechle,Stefan M Fischer,Daniel M Lang et al.
Johannes Kiechle et al.
The sharp rise in medical tomography examinations has created a demand for automated systems that can reliably extract informative features for downstream tasks such as tumor characterization. Although 3D volumes contain richer information ...
Controllable synthesis of dermoscopic images using diffusion models for enhanced computer aided diagnosis and detection [0.03%]
利用扩散模型合成可控的皮肤镜图像以增强计算机辅助诊断和检测
Junjie Shentu,Matthew Watson,Noura Al Moubayed
Junjie Shentu
Computer Aided Diagnosis/Detection (CAD) systems for skin lesion analysis are challenged by limited and imbalanced dermoscopic datasets, necessitating the use of advanced data augmentation techniques. In this paper, we introduce DiDGen, an ...
STAG: Biologically guided spatial transcriptomics prediction via hypergraph learning [0.03%]
基于超图学习的生物指导的空间转录组学预测方法(STAG)
Mingcheng Qu,Yuchuan Zhao,Guang Yang et al.
Mingcheng Qu et al.
Spatial transcriptomics (ST) enables spatially resolved gene expression profiling within intact tissue sections. However, its widespread adoption is constrained by the high cost and low throughput of current sequencing-based protocols. This...
Deformable image registration for self-supervised cardiac phase detection in cardiac magnetic resonance images of patients with various diseases [0.03%]
针对不同疾病患者的心脏磁共振图像的自监督心脏相位检测的可变形图像配准
Sarah Kaye Mueller,Sven Koehler,Jonathan Kiekenap et al.
Sarah Kaye Mueller et al.
Cardiovascular magnetic resonance (CMR) is widely used to assess cardiac function, but individual cardiac cycles complicate automatic temporal comparison and sub-phase analysis. Accurate cardiac keyframe detection can eliminate this problem...
A CNN-injected transformer network with lesion reconstruction for multi-view diabetic retinopathy grading [0.03%]
一种用于多视网膜糖尿病黄斑水肿病变分级的CNN注入Transformer网络
Yongting Hu,Haoran Li,Qihao Xu et al.
Yongting Hu et al.
The type and quantity of lesions are critical determinants in the assessment of diabetic retinopathy (DR) grading. Since multi-view fundus images provide a broader field of view and capture more lesions, multi-view DR grading has garnered i...
Multi-class segmentation of aortic branches and zones in computed tomography angiography: The AortaSeg24 challenge [0.03%]
计算机断层扫描主动脉分支和区域多类分割：AortaSeg24挑战赛
Muhammad Imran,Jonathan R Krebs,Vishal Balaji Sivaraman et al.
Muhammad Imran et al.
Multi-class segmentation of the aorta in computed tomography angiography (CTA) scans is essential for diagnosing and planning complex endovascular treatments for patients with aortic dissections. However, existing methods reduce aortic segm...
HiVLR: Hierarchical Vision-Language Reasoning for interpretable zero-shot radiography image understanding [0.03%]
基于层次结构的视觉语言推理的零样本医学X光图像理解方法
Xilin Dang,Kang Li,Pheng Ann Heng
Xilin Dang
Medical vision-language pre-training on image-report pairs has shown great potential to facilitate downstream image understanding tasks. However, prior approaches commonly exhibited limited accuracy on zero-shot image tasks, and lacked suff...
FAA-Net: Fetal abdominal anomaly diagnosis in prenatal ultrasound via LLM-enhanced multi-instance learning [0.03%]
基于LLM增强的多实例学习的胎儿腹部异常的产前超声诊断 FAA-Net
Huanwen Liang,Yuanji Zhang,Xiliang Zhu et al.
Huanwen Liang et al.
As a critical prenatal screening tool, ultrasound (US) heavily depends on operator experience, leading to both challenging and rare fetal malformation diagnoses as well as diagnostic variability. Thus, developing an automated fetal anomaly ...
Wavelet-inspired diffusion model with near-field constraint for real-time echocardiography dehazing [0.03%]
基于小波思想和近场约束的实时超声去雾扩散模型
Xue Gao,Peng Huang,Fangyan Tian et al.
Xue Gao et al.
Echocardiography is the primary imaging modality for cardiac disease diagnosis. However, sound speed variations across heterogeneous tissue layers induce acoustic reverberation, leading to near-field haze which severely obscures cardiac str...
Co-assistant networks by pathology foundation model and convolutional neural network for gigapixel whole slide image analysis [0.03%]
基于病理基础模型和卷积神经网络的协同助理网络促进千兆像素整张图片分析
Zhuoran Liu,Junyi Shen,Lei Cui et al.
Zhuoran Liu et al.
Multiple instance learning (MIL) with pre-trained models to extract patch-level features has been widely used in whole slide image (WSI) analysis to avoid expensive pixel-level annotations. Although pre-trained pathology foundation model (P...