Young-Min Kim,Myeong-Gee Kim,Seok-Hwan Oh et al.
Young-Min Kim et al.
Quantitative ultrasound (QUS) has been proposed in recent studies to extract tissue acoustic properties from pulse-echo signal. This paper introduces QIT-net, a quantitative imaging technique designed to assess thyroid nodules by quantifyin...
ACE-ProtoNet: Adaptive covariance eigen-gate and uncertainty-aware prototype learning for coronary artery segmentation [0.03%]
Caixia Dong,Duwei Dai,Pengyu Ren et al.
Caixia Dong et al.
Accurate segmentation of coronary arteries from Coronary CT Angiography (CCTA) is essential for quantitative stenosis evaluation, plaque characterization, and surgical planning. However, low vessel-to-background contrast, high anatomical va...
PTCMIL: multiple instance learning via prompt token clustering for whole slide image analysis [0.03%]
Beidi Zhao,Sangmook Kim,Hao Chen et al.
Beidi Zhao et al.
Multiple Instance Learning (MIL) has achieved significant success in whole slide image (WSI) analysis. However, the complexity and heterogeneity in WSIs remain fundamental challenges for MIL problem due to the various information in each WS...
Establishing a relationship between iron-based blood measures and structural brain changes using neural networks in UK Biobank [0.03%]
Joshua Sammet,Kholod Alhasani,Ejin Chung et al.
Joshua Sammet et al.
Background: Disturbance of iron homeostasis in both the brain and blood is linked to cognitive impairment and neurodegenerative diseases. Investigation of the associations between changes in blood measurements and the acc...
An Open-Source Workflow for Semi-Automated Spatial Profiling of Multiplex Immunofluorescent Images [0.03%]
Alisha Dabb,Cynthia Morgan,Sophia Noble et al.
Alisha Dabb et al.
Recent advances in image analysis and computational methods such as machine-learning-based cell segmentation and automated cell phenotyping have enhanced the depth of information gained from these historically qualitative images.
Myofibre Density Reveals a Critical Threshold Around Age 6 in Steroid-Naïve Duchenne Muscular Dystrophy: A Retrospective Observational Study [0.03%]
Tetsuhiro Yamakado,Yuka Ishikawa,Koki Ise et al.
Tetsuhiro Yamakado et al.
Methods: We retrospectively assessed 46 archival muscle-biopsy slides (steroid-naïve; collected > 40 years ago) using semi-quantitative image analysis with digital restoration. MFD and classical histological variables were quantified.
Observational Study
Neuropathology and applied neurobiology. 2026 Apr;52(2):e70068. DOI:10.1111/nan.70068 2026
Construction of a smartphone-assisted colorimetric nanosensor with multi-antibiotic response based on silver-ceria nanocomposites mimicking peroxidase activity [0.03%]
Yinxia Yang,Yi Liu,Jialin Liang et al.
Yinxia Yang et al.
In addition, smartphone-assisted digital image analysis is utilized for quantitative detection, enabling rapid on-site detection.
Artificial intelligence models and combined scoring approaches for endometrial receptivity assessment in in vitro fertilization [0.03%]
Teymur Bornaun
Teymur Bornaun
We combine AI-driven image analysis for automated endometrial segmentation (U-Net with VGG16 encoder) and embryo quality classification (VGG16) with a patient-specific clinical probability metric (SART) to generate a composite score.
Eliminating domain-related confounding factors in cross-domain one-shot medical image segmentation via causal inference [0.03%]
Mingyang Hou,Zhiyong Huang,Daidi Zhong et al.
Mingyang Hou et al.
Cross-domain few-shot medical image segmentation (CD-FSMIS) is important in clinical practice, especially when annotations are limited and domain differences are large. However, existing methods often fail to handle two main challenges at t...
PCa-Mamba: Spatiotemporal state space models for prostate cancer detection in multi-parametric MRI [0.03%]
Kai Zhao,Alex Ling Yu Hung,Kaifeng Pang et al.
Kai Zhao et al.
Multiparametric Magnetic Resonance Imaging (mpMRI), including T2-weighted imaging (T2), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) imaging is an important technique for the diagnosis of clinically significant pros...
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