A speech-to-video synthesis approach using spatio-temporal diffusion for vocal tract MRI [0.03%]
一种使用时空扩散的基于语音到视频合成的方法以实现声学通道MRI
Paula Andrea Pérez-Toro,Tomás Arias-Vergara,Fangxu Xing et al.
Paula Andrea Pérez-Toro et al.
Understanding the relationship between vocal tract motion during speech and the resulting acoustic signal is crucial for aided clinical assessment and developing personalized treatment and rehabilitation strategies. Toward this goal, we int...
DDS-UDA: Dual-domain synergy for unsupervised domain adaptation in joint segmentation of optic disc and optic cup [0.03%]
基于联合视盘和视杯分割的无监督领域适应的双域协同方法-DDS-UDA
Yusong Xiao,Yuxuan Wu,Li Xiao et al.
Yusong Xiao et al.
Convolutional neural networks (CNNs) have achieved exciting performance in joint segmentation of optic disc and optic cup on single-institution datasets. However, their clinical translation is hindered by two major challenges: limited avail...
MOTDNet: Multi organ task decoupling network for cell segmentation [0.03%]
用于细胞分割的多器官任务解耦网络(MOTDNet)
Jinlin Yang,Xintao Pang,Chuan Lin et al.
Jinlin Yang et al.
In histopathology, cell detection and segmentation of Hematoxylin and Eosin (H&E) stained tissue images are essential clinical tasks. Existing methods decompose cell segmentation into three tasks: nucleus shape capture, overlapping nucleus ...
SEQUAL: Self-refining and effective querying active learning with pseudo label divergence score for carotid intima-media segmentation in ultrasound [0.03%]
基于伪标签分歧得分的查询主动学习(SEQUAL)用于超声下颈动脉内中膜分割
Yucheng Tang,Yipeng Hu,Jing Li et al.
Yucheng Tang et al.
Deep learning has achieved remarkable performance in carotid intima-media (CIM) segmentation from ultrasound images, but its clinical applicability remains limited due to data scarcity, annotation variability, and low image quality. While a...
ViFIT-assisted histopathology: From H&E style standardization to virtual fiber image transformation [0.03%]
基于ViFIT的辅助病理学：从H&E染色风格标准化到虚拟纤维图像变换
Shu Wang,Xiao Zhang,Xingfu Wang et al.
Shu Wang et al.
Deep learning-based virtual fiber staining provides a promising complement to routine H&E pathology. However, the reliance on predefined staining style inputs and manual intervention limits the clinical applicability of existing methods. To...
Clinical priors-inspired privileged knowledge distillation for reliable pancreatic lesion classification [0.03%]
基于临床先验的胰腺病变分类可靠知识蒸馏方法
Qiaoyu Han,Gang Yang,Lei Zhang et al.
Qiaoyu Han et al.
Accurate classification of pancreatic lesions is critical for guiding treatment decisions, with computed tomography (CT) being the primary modality owing to its high spatial resolution. Although deep learning has advanced CT-based pancreati...
PASS-Tr: PAtch-wise swin slice attention to leverage generalization of 2D large vision model to universal lesion detection [0.03%]
PASS-Tr：利用二维大型视觉模型的通用性进行普遍病灶检测的PAtch-wise swin slice注意力方法
Han Li,Jingsong Liu,Zhen Huang et al.
Han Li et al.
Universal Lesion Detection (ULD) in computed tomography (CT) is essential for computer-aided diagnosis. A long-standing debate in ULD research concerns the choice between 3D and 2D networks. While 3D networks offer superior spatial context ...
SparseXMIL: Leveraging sparse convolutions for context-aware and memory-efficient classification of whole slide images in digital pathology [0.03%]
基于稀疏卷积的数字病理学中用于上下文感知和内存高效的整个载玻片图像分类的方法sparsexmil
Loïc Le Bescond,Marvin Lerousseau,Fabrice André et al.
Loïc Le Bescond et al.
The computer analysis of Whole Slide Images (WSIs) has become increasingly prevalent in pathology-based diagnosis, although their analysis still presents considerable challenges due to the voluminous nature of the data. To address this issu...
Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos [0.03%]
超越IUGC基准：从胎儿超声视频中重新思考产时超声生物测量的深度学习方法要求
Jieyun Bai,Zihao Zhou,Yitong Tang et al.
Jieyun Bai et al.
A significant proportion (45%) of maternal deaths, neonatal deaths, and stillbirths occur during the intrapartum phase, particularly prevalent in low- and middle-income countries. Intrapartum biometry plays a crucial role in monitoring labo...
Translating MRI to PET through conditional diffusion models with enhanced pathology awareness [0.03%]
基于条件扩散模型的MRI到PET转换以及病理增强意识技术
Yitong Li,Igor Yakushev,Dennis M Hedderich et al.
Yitong Li et al.
Positron emission tomography (PET) is a widely recognized technique for diagnosing neurodegenerative diseases, offering critical functional insights. However, its high costs and radiation exposure hinder its widespread use. In contrast, mag...