Ultrasound Domain Adaptation for Robust Kidney Segmentation via Spectral-Similarity-Guided Translation [0.03%]
基于光谱相似引导翻译的肾脏分割域适应方法
De Yu,Jinyan Cai,Menglin Wu et al.
De Yu et al.
Accurate kidney ultrasound segmentation is fundamental for clinical measurement and computer-aided diagnosis. However, domain shifts across devices and centers-manifested as differences in grayscale intensity, contrast, and speckle texture ...
Dynamic Fuzzy-Gaussian Modeling (DynFGM): A Kurtosis-Adaptive Unsupervised Framework for Automated Adipose Tissue Segmentation in Abdominal MRI [0.03%]
动态模糊高斯模型（DynFGM）：一种用于腹部MRI中自动脂肪组织分割的适应峰度的无监督框架
Asefa Adimasu Taddese,Joshua D K Bernal,Chit K Leung et al.
Asefa Adimasu Taddese et al.
Accurate MRI-based quantification of abdominal adipose tissue is critical for metabolic risk assessment but is limited by labor-intensive manual segmentation and the extensive labeled-data dependency of deep learning models. We introduce Dy...
Computerized Classification Method for Glioma Molecular Subtypes on Brain MR Images Using SAM-Med3D with Low-Rank Adaptation [0.03%]
基于SAM-Med3D与低秩自适应的胶质瘤分子亚型脑MRI计算机分类方法
Akiyoshi Hizukuri
Akiyoshi Hizukuri
It is important to identify the molecular subtypes of gliomas to determine appropriate management strategies for patients. However, genetic testing requires tumor tissue obtained through surgical resection, which imposes a considerable burd...
MammoDenseSegNet: A Context-Aware Deep Learning Model for Dense Tissue Segmentation in Digital Mammograms [0.03%]
一种基于深度学习的数字乳腺X线图像致密乳腺组织分割模型：MammoDenseSegNet
Razieh Ganjee,Andriy Bandos,Md Belayat Hossain et al.
Razieh Ganjee et al.
Breast density is a breast cancer risk factor. The accurate quantification of breast density requires reliable segmentation of dense tissue in mammograms, but it is a challenging task due to large variations in tissue appearance across hosp...
A Novel ConvNeXtV2-MIL Approach for Accurate and Efficient Classification of Microscopic Fungal Morphology [0.03%]
一种新颖的ConvNeXtV2-MIL方法，用于准确高效地分类显微真菌形态
Nuray Ari,Mehmet Erten,Sümeyra Kayali et al.
Nuray Ari et al.
Fungal infections, especially in people with weakened immune systems, are a significant global health burden. Accurate identification of fungal morphology from microscopic images is a critical step in guiding timely antifungal treatment dec...
An Intelligence-Based Hybrid CNN-GAT Framework Optimized by the Whale Optimization Algorithm for Clinical Lung Cancer Classification from Chest CT Images [0.03%]
一种基于鲸鱼优化算法的集成CNN-GAT智能框架，用于胸部CT图像临床肺癌分类
Abbas Mirzaei,Aminreza Mohajerzadeh,Babak Nouri-Moghaddam et al.
Abbas Mirzaei et al.
Early and accurate detection of lung cancer remains a central challenge in intelligence-based medicine, where robust imaging informatics solutions are required to interpret complex chest CT data. This study proposes a novel hybrid convoluti...
Deep Learning on Tumor Habitat Sub-regions vs. Whole-Tumor ROI: A Comparative Study of Fusion Strategies for Breast Cancer Molecular Subtype Prediction [0.03%]
基于肿瘤生长环境的亚区域和整个肿瘤感兴趣区的深度学习方法比较研究：乳腺癌分子亚型预测融合策略的对比研究
Yujiao Yang,Xiaotao Qin,Xia Zou et al.
Yujiao Yang et al.
This study aimed to compare deep learning models based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) whole-tumor and habitat regions of interest (ROIs) for non-invasive preoperative luminal subtype prediction in invasive...
Deep Learning vs. Traditional Machine Learning in the Diagnosis of Cutaneous Drug Eruptions: A Comparative Study with Explainable AI on Whole-Slide Images [0.03%]
深度学习与传统机器学习在药物性皮炎诊断中的比较研究：具有可解释性的AI在全滑动图像上的应用研究
Ayşe Türkmen Dedeoğlu,Hüseyin Yanık,Erdem Uysal et al.
Ayşe Türkmen Dedeoğlu et al.
Histopathological diagnosis of cutaneous drug eruptions (CDEs) presents a challenge in dermatopathology due to morphological overlap and high inter-observer variability. This retrospective study systematically compares the diagnostic perfor...
Considerations for Pre-deployment Planning in Point-of-Care Ultrasound Program Implementation: A HIMSS-SIIM Enterprise Imaging Community Whitepaper in Collaboration with AIUM [0.03%]
基于护理点超声波计划实施的预部署规划考虑：HIMSS-SIIM企业成像社区白皮书与AIUM合作編制
Allan Bottemiller,Robinson M Ferre,Les R Folio et al.
Allan Bottemiller et al.
Point-of-care ultrasound (POCUS) provides real-time diagnostic capabilities at the bedside. Implementing a POCUS program in an institution is a highly complex process. Coordinating the imaging workflow of numerous clinical specialties requi...
Self-supervised Depth Estimation for Monocular Endoscopy Using Confidence-Rectified Distillation and Semantic Distribution Alignment [0.03%]
基于自信蒸馏和语义分布对齐的单目内窥镜自监督深度估计方法
Zhongping Li,Kejin Zhu,Guozhe Jin
Zhongping Li
Monocular depth estimation (MDE) is a core capability for 3D reconstruction and intraoperative augmented reality in endoscopy. Recent self-supervised methods improve performance by leveraging reprojection consistency, temporal constraints, ...