Results 121 to 130 of about 79,319 (254)
3D Surface Profiling via Direct End‐to‐End Regression With a Photonic Geometric Sensor
Measurements of microscale surface patterns are essential for quality control across semiconductor and biomedical industries, yet the development of miniaturized, intelligent systems remains constrained by the complexity and bulkiness of conventional benchtop metrology.
Ziyao Zhang +13 more
wiley +1 more source
Enhanced Mask R-CNN for herd segmentation [PDF]
Rotimi-Williams Bello +2 more
openaire +1 more source
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya +7 more
wiley +1 more source
Accelerating MRI With Longitudinally‐Informed Latent Posterior Sampling
ABSTRACT Purpose To accelerate MRI acquisition by incorporating the previous scans of a subject during reconstruction. Although longitudinal imaging constitutes much of clinical MRI, leveraging previous scans is challenging due to the complex relationship between scan sessions, potentially involving substantial anatomical or pathological changes, and ...
Yonatan Urman +4 more
wiley +1 more source
Micro-UAV Detection using Mask R-CNN
With the advancement in production of micro-UAV, they have become cheap and easy to operate. While the widespread use of micro-UAVs has provided many benefits to all sectors of society, it has also presented a significant danger to personal, public, and military security. Micro-UAVs are difficult for conventional air-defence systems to identify as they
openaire +1 more source
ABSTRACT Purpose To develop and evaluate Crohn‐BOOST, an open‐source tool enabling semi‐automatic segmentation of intestinal lesions and creeping fat on magnetic resonance enterography (MR Enterography), and to assess whether quantitative metrics derived from these segmentations relate to radiological disease activity scored with simplified MaRIA ...
Antoine Kneib +5 more
wiley +1 more source
ABSTRACT Introduction/Aims The cross‐sectional area (CSA) of the median nerve (MN) is a key parameter for confirming carpal tunnel syndrome (CTS) with ultrasound. This study evaluates the performance of a convolutional neural network (CNN) with a 2D U‐Net architecture for automated MN CSA segmentation in both healthy individuals and patients with CTS ...
Tom B. G. Olde Dubbelink +6 more
wiley +1 more source
GraphReco: Probabilistic Structure Recognition for Chemical Molecules
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang +2 more
wiley +1 more source
An Improved Mask R-CNN Micro-Crack Detection Model for the Surface of Metal Structural Parts. [PDF]
Yang F, Huo J, Cheng Z, Chen H, Shi Y.
europepmc +1 more source
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley +1 more source

