Deep Cross-Branch Multi-Modal Fusion Network for early Alzheimer's diagnosis [0.03%]
深层跨分支多模态融合网络在阿尔茨海默病早期诊断中的应用
Jiaqiang Li,Yian Gao,Zhenghua Guan et al.
Jiaqiang Li et al.
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder where early diagnosis is pivotal for effective intervention, yet it is hindered by subtle pathological feature differences among AD subtypes and severe class imbalance in me...
From heatmaps to language: Explainable skin cancer diagnosis using CNN-VLM integration with an expert-annotated dataset [0.03%]
从热图到语言：使用专家注释数据集的CNN-VLM集成进行可解释的皮肤癌诊断
Faysal Ahmmed,Asef Rahman Antik,Samanta Mehnaj et al.
Faysal Ahmmed et al.
Skin cancer diagnosis relies on visual interpretation of lesion morphology, yet most deep learning models function as black boxes with limited clinical interpretability. This study presents an explainable diagnostic framework that integrate...
A deep learning-based framework for the malignancy analysis of thyroid lesions in contrast-enhanced ultrasound videos [0.03%]
基于深度学习的对比度增强超声视频甲状腺病变恶性分析框架
Aoxiang Yang,Liuyue Li,Ruifan He et al.
Aoxiang Yang et al.
Background and objective: Contrast-enhanced ultrasound (CEUS) is widely used for evaluating thyroid nodule malignancy, but conventional time-intensity curve (TIC) analysis is labor-intensive and operator-dependent. This s...
Quantification of the tumor microenvironment and prognostic analysis in colorectal cancer based on CAMuTILS [0.03%]
基于CAMuTILS的结直肠癌肿瘤微环境量化及预后分析
Tuyu Li,Lingfeng Yang,Qilai Zhang et al.
Tuyu Li et al.
The complex spatial organization of the tumor microenvironment (TME) plays a critical role in colorectal cancer progression, yet its quantitative characterization from histopathological images remains challenging and often relies on subject...
Koen Dercksen,Arjen P de Vries,Bram van Ginneken
Koen Dercksen
This study presents a direct prediction approach for estimating the prevalence of radiological findings from text, eliminating the need for computationally intensive similarity-based comparisons. The proposed method, named PRESTIGE, trades ...
Rehabilitation movement simulation via joint angle-based generative AI [0.03%]
基于关节角度的生成式AI在康复运动模拟中的应用
Gabriele Santangelo,Chiara Alessi,Giovanna Nicora et al.
Gabriele Santangelo et al.
In recent years, generative models have shown remarkable capabilities in synthesizing realistic human motion, with applications ranging from animation to virtual reality. However, their potential in clinical and rehabilitation settings rema...
The application of artificial intelligence in healthcare practice: A mapping review of systematic reviews [0.03%]
人工智能在医疗保健实践中的应用：系统评价的映射回顾
Adam Andersen,Ruiping Huang,Edward Jiusi Liu
Adam Andersen
Artificial intelligence (AI) is rapidly transforming healthcare practice, with growing evidence supporting its use in diagnosis, prognosis, treatment planning, and operational decision-making. The proliferation of systematic reviews in rece...
Prior-guided multi-expert consensus fusion for multi-center thyroid nodule classification [0.03%]
基于先验引导的多中心甲状腺结节分类多专家共识融合方法
Guangju Li,Zhaoxing An,Qinghua Huang et al.
Guangju Li et al.
Thyroid nodule classification in ultrasound imaging is challenged by entangled visual patterns and distribution shifts across multi-center data due to variations in devices, protocols, and gain settings. We propose a Prior-Guided Multi-Expe...
ORBIT: Oncogenic Representation Learning via Bi-Prototype Contrastive Learning in Hyperbolic Space for cancer driver gene identification [0.03%]
ORBIT：通过双原型对比学习的肿瘤发生表示学习（用于癌症驱动基因识别）
Sang-Pil Cho,Young-Rae Cho
Sang-Pil Cho
Accurate identification of cancer driver genes is crucial for precision oncology but remains challenging due to the complexity of integrating heterogeneous data and modeling dynamic biological systems. To address these limitations, we propo...
GLF-Net: A quasi-periodic prior-guided waveform segmentation network for ECG delineation [0.03%]
基于心电信号切分的准周期先验引导波形分割网络(GLF-Net)
Zhenqin Chen,Yiwei Lin,Yuying Bao et al.
Zhenqin Chen et al.
Electrocardiogram (ECG) signals capture cardiac electrical activity and serve as a fundamental tool for diagnosing cardiovascular diseases. A standard ECG waveform is composed of P waves, QRS complexes, and T waves, each reflecting differen...