Results 91 to 100 of about 10,393 (248)

Compact Spectral Imaging: A Review of Miniaturized and Integrated Systems

Laser &Photonics Reviews, Volume 19, Issue 21, November 6, 2025.
This review explores the rapid shift toward compact spectral imaging systems by examining four key design paradigms: Do‐It‐Yourself (DIY) platforms, freeform optics, filter‐on‐chip integration, and multifunctional metasurfaces. The discussion highlights critical applications in medicine, agriculture, and environmental monitoring, providing comparative ...
Sani Mukhtar, Amir Arbabi, Jaime Viegas
wiley   +1 more source

Expected exponential loss for gaze-based video and volume ground truth annotation

, 2017
Many recent machine learning approaches used in medical imaging are highly reliant on large amounts of image and ground truth data. In the context of object segmentation, pixel-wise annotations are extremely expensive to collect, especially in video and ...
BE Menze, H Shin, K Kamnitsas, L Maier-Hein, M Anthimopoulos, R Bermúdez-Chacón, T Hastie, V Cheplygina   +7 more
core   +1 more source

An Object-Aware Network Embedding Deep Superpixel for Semantic Segmentation of Remote Sensing Images

Remote Sensing
Semantic segmentation forms the foundation for understanding very high resolution (VHR) remote sensing images, with extensive demand and practical application value.
Ziran Ye, Yue Lin, Baiyu Dong, Xiangfeng Tan, Mengdi Dai, Dedong Kong   +5 more
doaj   +1 more source

Breaking (Light) Barriers: Photoacoustics in Atherosclerotic Diseases

Journal of Cellular and Molecular Medicine, Volume 29, Issue 21, November 2025.
ABSTRACT Photoacoustic imaging (PAI) is an emerging imaging modality that provides high‐resolution, spatiotemporal insights into anatomical structures, functional parameters and molecular characteristics of tissues. By leveraging both endogenous absorbers, such as lipids and collagen, and exogenous contrast agents like nanoparticles and molecular dyes,
Kayleigh van Dijk, Margreet R. de Vries
wiley   +1 more source

Text segmentation using superpixel clustering

IET Image Processing, 2017
Text segmentation is important for text image analysis and recognition; however, it is challenging due to noise and complex background in natural scenes. Superpixel‐based image representation can enhance robustness to noise and local disturbances, but conventional superpixel algorithms are difficult to obtain the complete stroke regions and accurate ...
Yuanping Zhu, Kuang Zhang
openaire   +1 more source

Chat to chip: large language model based design of arbitrarily shaped metasurfaces

Nanophotonics, Volume 14, Issue 22, Page 3625-3633, 01 November 2025.
Abstract Traditional metasurface design is limited by the computational cost of full‐wave simulations, preventing thorough exploration of complex configurations. Data‐driven approaches have emerged as a solution to this bottleneck, replacing costly simulations with rapid neural network evaluations and enabling near‐instant design for meta‐atoms ...
Huanshu Zhang, Lei Kang, Sawyer D. Campbell, Douglas H. Werner   +3 more
wiley   +1 more source

Automatic glioma segmentation based on adaptive superpixel

BMC Medical Imaging, 2019
Background The automatic glioma segmentation is of great significance for clinical practice. This study aims to propose an automatic method based on superpixel for glioma segmentation from the T2 weighted Magnetic Resonance Imaging.
Yaping Wu, Zhe Zhao, Weiguo Wu, Yusong Lin, Meiyun Wang   +4 more
doaj   +1 more source

Superpixel-Based Optic Nerve Head Segmentation Method of Fundus Images for Glaucoma Assessment [PDF]

, 2022
Francisco J. Ávila, Juan M. Bueno, Laura Martin   +2 more
openalex   +1 more source

Fuzzy C‐means clustering algorithm based on superpixel merging and multi‐feature adaptive fusion measurement

IET Image Processing
The fuzzy C‐means clustering (FCM) algorithm is widely used in greyscale and colour image segmentation, especially in real colour images. However, in the process of interested regions extraction, it performs barely satisfactory due to the use of single ...
Xie Zeyu, Luo Xiao, Zhao Defang, Chen Xinyu   +3 more
doaj   +1 more source

Unsupervised instance segmentation with superpixels

Pattern Recognition
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
openaire   +2 more sources