Results 191 to 200 of about 9,112 (254)

Advancing Retina Implant Concepts: Assessing the Design and Validation of Origami‐Type Epiretinal Implants by Computational Modeling

open access: yesphysica status solidi (a), Volume 223, Issue 14, 22 July 2026.
We utilize a simulation framework including axon map models generated from earlier human trials to predict the neural activation of a novel, origami‐type epiretinal implant. With this, we can assess its expected performance compared to other implants and significantly shorten the development of novel implant concepts in the future.
Eashika Ghosh   +6 more
wiley   +1 more source

Style‐Constrained Inverse Design of Microstructures With Tailored Mechanical Properties Using Unconditional Diffusion Models

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 13, 15 July 2026.
ABSTRACT Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high‐fidelity generation of architected microstructures with desired properties and styles. However, these recent methods typically rely on conditional training mechanisms that require extensive labeled data.
Weipeng Xu   +5 more
wiley   +1 more source

Mechanosensitive TRPV4 immunohistochemistry improves deep learning‐based classification of ductal carcinoma in situ beyond H&E morphology

open access: yesThe Journal of Pathology: Clinical Research, Volume 12, Issue 4, July 2026.
Abstract Ductal carcinoma in situ (DCIS) spans a biologic continuum from atypical ductal hyperplasia (ADH) to high‐grade lesions with variable risk of progression to invasive ductal carcinoma (IDC), yet morphologic assessment by hematoxylin and eosin (H&E) remains diagnostically limited, particularly at the benign versus ADH/low‐grade DCIS boundary ...
Janghyun Yoo   +8 more
wiley   +1 more source

FS‐Mamba: Feature‐wise scanning Mamba UNet for automatic image segmentation in liver tumor radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.
Abstract Background Medical image segmentation is fundamental to radiotherapy planning, yet accurate delineation of organs at risk and tumor targets remain challenging due to anatomical variability and low soft‐tissue contrast in CT images. Purpose To develop a lightweight, high‐precision automatic segmentation network that meets the dual clinical ...
Peijun Yin   +6 more
wiley   +1 more source

A multi-class framework for fish species classification using deep learning technique. [PDF]

open access: yesPLoS One
Farooq Z   +5 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy