CSFBNet: Cosine-Consistency Filtering and Dual-Stream Complementary Semantic Guidance for Prostate Cancer MRI Segmentation [0.03%]
基于余弦一致性过滤和双流互补语义引导的前列腺癌MRI分割方法
Changbin Lin,Jiajia Wang,Guangbo Fu et al.
Changbin Lin et al.
Accurate prostate and prostate cancer MRI segmentation remains challenging because prostate structures and lesions may be small, low-contrast, have blurred boundaries, and be strongly affected by surrounding tissues. To address these issues...
Geometric Algebra-based Dual-branch Graph Convolutional Network for Deformable Medical Image Registration with Bi-Directional Flow [0.03%]
基于几何代数的双分支图卷积网络的双向流可变形医学图像配准方法
Wenming Cao,Muhammad Anwar,Zhiyue Yan
Wenming Cao
Deformable medical image registration (DMIR) plays a central role in modern medical image analysis. Recent studies involving Graph Neural Networks (GCNs) have demonstrated promising performance in medical image registration tasks due to the...
Automatic Classification of Retinal OCT Images Based on Multi-Perspective Collaborative Self-Distillation and Category-Aware Contrastive Learning [0.03%]
基于多视角协作自蒸馏和类别感知对比学习的视网膜OCT图像自动分类
Wendi Zhang,Ying Fan,Siheng Zhou et al.
Wendi Zhang et al.
The automatic classification of retinal optical coherence tomography (OCT) images holds significant value for assisting in the diagnosis of related fundus diseases. However, it often faces challenges such as class imbalance and high inter-c...
An Automated Multivariate EEG Signal Analysis Framework for Seizure Detection Using D-MVMD and BO-SVM [0.03%]
基于D-MVMD和BO-SVM的癫痫 seizure 检测多变量脑电自动分析框架
T V Manju,Malaya Kumar Hota
T V Manju
The epileptic seizure (ES) is one of the most prominent neurological conditions, whose detection and classification from the electroencephalogram (EEG) signals is crucial for effective diagnosis of seizures, thereby eliminating the detrimen...
Smartphone-Based Detection of Abnormal Lung Sounds Using Domain-Adaptive Deep Learning [0.03%]
基于领域自适应的深度学习手机异常呼吸音检测技术
Seunggyu Jeong,Sungwoo Nam,Seongkwan Jung et al.
Seunggyu Jeong et al.
Auscultation is a fundamental clinical practice for detecting respiratory abnormalities, but accurate interpretation requires specialized medical expertise. With the increasing adoption of electronic stethoscopes, large-scale datasets have ...
MSMPP: Molecular Property Prediction by Integrating Multi-scale Multi-view information with pretrained 3D molecular large model representation [0.03%]
MSMPP：通过预训练的3D分子大模型表示集成多尺度、多视图信息进行分子性质预测
Jiongfeng Chen,Yulian Ding,Yan Yan et al.
Jiongfeng Chen et al.
Molecular property prediction is a cornerstone for accelerating drug discovery, providing a computational way to alleviate the low success rate, high cost, and long development cycle of conventional pharmaceutical research and development. ...
EffSCG: An Efficient Framework for Real-Time Seismocardiogram Denoising on Resource-Constrained Edge Devices [0.03%]
EffSCG：一种高效的实时地震心电图去噪框架用于资源受限的边缘设备
Ahmet R Emirdagi,Cem O Yildiz,Onur S Kilic et al.
Ahmet R Emirdagi et al.
Most deep learning models for wearable devices are still implemented on centralized servers due to memory and computational power limitations under the assumption that these servers will communicate with the wearable units. However, enablin...
Multi-Task Deep Learning Framework for Real-Time Quality Assessment and Probe Guidance in Echocardiography [0.03%]
一种多任务深度学习框架用于超声心动图实时图像质量评估和探头引导
Hyunseok Jeong,Jaeik Jeon,Yeonyee E Yoon et al.
Hyunseok Jeong et al.
Transthoracic echocardiography is a widely used, noninvasive tool for cardiac imaging, but the quality of image acquisition remains highly operator-dependent. Existing artificial intelligence-based systems often require large amounts of lab...
LS$^{2}$Net: A Lightweight Segmentation Network for Ultrasound Imaging via Synergy of Large and Small Receptive Fields [0.03%]
基于大小感受野协同的超声图像轻量级分割网络
Jinlin Yang,Xintao Pang,Yue Liu et al.
Jinlin Yang et al.
Ultrasound imaging, with its advantages of portability, real-time feedback, and non-invasiveness, has become an indispensable modality in computer-aided diagnosis. However, inherent challenges in ultrasound images, such as speckle noise, lo...
A Multi-Modal Cyclic Peptide Representation Learning Framework for Membrane Permeability Prediction [0.03%]
一种用于膜通透性预测的多模态环肽表示学习框架
Haowen Chen,Xiuxiu Chao,Weihao Ou et al.
Haowen Chen et al.
Cyclic peptide drugs show great potential in antiviral, antibacterial, anticancer, and immunomodulatory therapies, yet accurate prediction of their membrane permeability remains challenging. Existing approaches based on SMILES, molecular gr...