Results 111 to 120 of about 1,925,096 (328)

Membrane Fusion‐Inspired Nanomaterials: Emerging Strategies for Infectious Disease and Cancer Diagnostics

open access: yesAdvanced Healthcare Materials, EarlyView.
Membrane fusion‐inspired nanomaterials offer transformative potential in diagnostics by mimicking natural fusion processes to achieve highly sensitive and specific detection of disease biomarkers. This review highlights recent advancements in nanomaterial functionalization strategies, signal amplification systems, and stimuli‐responsive fusion designs,
Sojeong Lee   +9 more
wiley   +1 more source

Experimental Study on Long Short-term Memory Networks for Identifying P-wave Primary Phase

open access: yesCT Lilun yu yingyong yanjiu
Identifying primary phases of seismic waveforms is a routine task in seismic data processing. Owing to the low efficiency of manual identification and the influence of human subjective factors, many methods for the automatic identification of the primary
Tianzhe WANG   +3 more
doaj   +1 more source

Convolutional neural networks: an overview and application in radiology

open access: yesInsights into Imaging, 2018
Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest across a variety of domains, including radiology.
R. Yamashita   +3 more
semanticscholar   +1 more source

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

open access: yesAdvanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu   +18 more
wiley   +1 more source

Deep convolutional neural network based medical image classification for disease diagnosis

open access: yesJournal of Big Data, 2019
Medical image classification plays an essential role in clinical treatment and teaching tasks. However, the traditional method has reached its ceiling on performance.
Samir S. Yadav, S. Jadhav
semanticscholar   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

open access: yesAdvanced Healthcare Materials, EarlyView.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha   +12 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long   +26 more
wiley   +1 more source

Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network [PDF]

open access: gold, 2022
Michael Lempart   +9 more
openalex   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

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