Results 81 to 90 of about 1,217,238 (259)
A biomimetic force‐electric nanotentacle‐enabled tantalum (Ta) implant with surface‐nanostructured LiTaO3 (n‐LiTaO3) was first developed via laser nanofabrication combined with Li+‐induced in situ reaction, enabling the transduction of ultrasound into bioelectrical cues.
Taixing Zhang +15 more
wiley +1 more source
Diabetes‐associated dysbiosis is accompanied by reduced Clostridium abundance, impaired microbial tryptophan metabolism, and lower circulating indole‐3‐propionic acid (IPA). Exogenous IPA improves trabecular microarchitecture and bone formation and restores Nrf2‐associated antioxidant signaling in bone marrow mesenchymal stem cells, limiting iron ...
Jinwu Bai +12 more
wiley +1 more source
Automatic lung nodule detection from chest CT data using geometrical features: initial results [PDF]
In this paper, a complete system for automatic lung nodule detection from Chest CT data is proposed. The proposed system includes the methods of lung segmentation and nodule detection from CT data.
Chowdhury, Tarik A., Whelan, Paul F.
core +2 more sources
Variable radiological lung nodule evaluation leads to divergent management recommendations
: Radiological evaluation of incidentally detected lung nodules on computed tomography (CT) influences management. We assessed international radiological variation in 1) pulmonary nodule characterisation; 2) hypothetical guideline-derived management; and
Hoesein, Firdaus A. Mohamed +113 more
core
TPBE scaffolds, in conjunction with mild photothermal effects, effectively activate the PI3K/Akt signaling cascade, thereby promoting early neuronal differentiation and neurite growth. Short‐term (12 W) in vivo implantation studies revealed no significant pathological damage to major organs, providing preliminary evidence of the material's excellent ...
Bingqian Wang +8 more
wiley +1 more source
Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention Mechanism [PDF]
Radiologists possess diverse training and clinical experiences, leading to variations in the segmentation annotations of lung nodules and resulting in segmentation uncertainty.Conventional methods typically select a single annotation as the learning ...
Wang, Qiuli +6 more
core +1 more source
Accurate lung nodule segmentation is crucial for early-stage lung cancer diagnosis, as it can substantially enhance patient survival rates. Computed tomography (CT) images are widely employed for early diagnosis in lung nodule analysis.
Khan, Tariq Mahmood +7 more
core
Objective Rheumatoid arthritis (RA) often involves extra‐articular complications, including interstitial lung disease (ILD) and/or pulmonary nodules. Transcriptomic profiling of lung tissue provides the opportunity to directly assess cell‐specific gene expression and corresponding pathway activation in different types of rheumatoid lung disease ...
Tracy Tabib +8 more
wiley +1 more source
A Two-Stage U-Net Framework for Interactive Segmentation of Lung Nodules in CT Scans
Segmentation of lung nodules in CT images is an important step during the clinical evaluation of patients with lung cancer. Furthermore, early assessment of the cancer is crucial to increase the overall survival chances of patients with such disease, and
Luis Fernandes +2 more
doaj +1 more source
Erratum to: A Segmentation Framework of Pulmonary Nodules in Lung CT Images [PDF]
Erratum to: J Digit Imaging DOI 10.1007/s10278-015-9801-9 This article inadvertently published with an incomplete author list. The full listing is indicated above.
Ashis K. Dhara +4 more
openaire +1 more source

