Results 231 to 240 of about 48,049 (318)
Standardized contrast-enhanced CT-based radiomics for non-invasive prediction of TTF-1 status in lung adenocarcinoma: A cross-validated single-center study. [PDF]
Nüssel M +4 more
europepmc +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Radiomics in fetal brain MRI: a narrative review. [PDF]
Pacchiano F +7 more
europepmc +1 more source
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
Soil Region Segmentation and Visual Whiteness Analysis in Cold-Region Rice Seedbeds Based on Improved DAC-UNet. [PDF]
Gao J +7 more
europepmc +1 more source
The interfacial stability and activity of Ni‐Fe‐based AEMWE anodes can be directly enhanced by operando voltage‐cycling in a FeOOH‐containing electrolyte. This process simultaneously induces Ni oxidation and Fe incorporation, forming an integrated, porous (Fe, Ni)OOH layer with high conductivity and durability.
Euntaek Oh +10 more
wiley +1 more source
Multi-attribute prediction of protein composition and hardness using semantic segmentation for 3D-Printed plant-based meat analogues. [PDF]
Kim S +5 more
europepmc +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
A multi-task masked autoencoder with GAN-based augmentation for PD-L1 prediction from chest CT images. [PDF]
Ye YZ +10 more
europepmc +1 more source

