Results 51 to 60 of about 6,083 (212)

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

Journal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester, Adam Anders, Julio Spadotto, Hannah Eccleston, William Beavan, Hugues Arcis, Brian J. Connolly   +6 more
wiley   +1 more source

Analysis of Pneumonia on Chest X-Ray Images Using Convolutional Neural Network Model iResNet-RS

JOIV: International Journal on Informatics Visualization
Pneumonia, a prevalent inflammatory condition affecting lung tissue, poses a significant health threat across all age groups and remains a leading cause of infectious mortality among children worldwide.
Didih Rizki Chandranegara, Vizza Dwi Vitanti, Wildan Suharso, Hardianto Wibowo, Sofyan Arifianto   +4 more
doaj   +1 more source

Assessing mature and immature collagen in tonsillar tissue using second harmonic generation microscopy

Journal of Microscopy, EarlyView.
Abstract Recurrent tonsillitis (RT) and obstructive sleep apnoea (OSA) are major indications for tonsillectomy, yet their tissue‐level pathology remains unclear. Recurrent inflammation in RT may induce collagen remodelling through excess extracellular matrix deposition.
Kay Polland, Megan Clapperton, Thushitha Kunanandam, Catalina D Florea, Catriona M Douglas, Gail McConnell   +5 more
wiley   +1 more source

Improving the Quality of X-Ray Images of the Lungs of COVID-19 and Healthy Patients Using the Contrast Limited Adaptive Histogram Equalization (CLAHE) Method in Batam

Journal of Electrical Engineering and Computer Sciences
X-ray imaging is a widely used technique for observing lung patients conditions. Compared to other radiographic methods, X-ray is more accessible, cost-effective, and commonly available in healthcare facilities. However, digital X-ray images often suffer
Marisha Pertiwi, Fortia Magfira, Dwi Rahmaisyah, M. Hasbi Sidqi Alajuri   +3 more
doaj   +1 more source

Image Enhancement Based on Wavelet Transform and Contrast  Limited Adaptive Histogram Equalization

Journal of Harbin University of Science and Technology, 2018
Contrast limited adaptive histogram equalization (CLAHE) is an efficient algorithm to improve the local details of an image In this paper, we propose an image enhancement method named CLAHE Discrete Wavelet Transform to solve the problem of contrast and
YU Tian-he, MENG Xue, PAN Ting, LAN Chao-feng   +3 more
doaj   +1 more source

SynapTrack: An automated tool for synapse quantification

Journal of Microscopy, EarlyView.
Abstract Reliable synapse quantification remains challenging, particularly in high‐throughput fluorescence imaging workflows. Here we present SynapTrack, a fully automated FIJI/ImageJ‐based tool for quantifying synapses in cultured neurons and brain tissue sections with minimal user intervention.
Carlos Gallego‐García, Elena Martínez‐Blanco, F. Javier Díez‐Guerra   +2 more
wiley   +1 more source

Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2505-2515, November 2026.
ABSTRACT Purpose To design a deep learning pipeline for automated, time‐resolved segmentation of the left atrium (LA) from 4D flow MRI data. Methods We studied 100 individuals including 65 patients with atrial fibrillation (AF) and 35 healthy subjects (HS) resulting in 2530 4D flow MRI time‐volumes acquired in different centers and scanners.
Jonas Leite, Tom Da‐Silva Faria, Marie Shannon Soulez, Khaoula Bouazizi, Perrine Marsac, Elie Mousseaux, Jérôme Lamy, Moussa Gueda Moussa, Olivier Piot, Jacques Feignoux, Daniel Giese, Nicolas Badenco, Estelle Gandjbakhch, Alban Redheuil, Mikaël Laredo, Emilie Bollache, Nadjia Kachenoura   +16 more
wiley   +1 more source

Classification of the qilou (arcade building) using a robust image processing framework based on the Faster R-CNN with ResNet50

Journal of Asian Architecture and Building Engineering
Qilou (arcade building) is a particular type of Chinese historical architecture combined with western and eastern building elements, which plays a significant role in the history of modern Chinese architecture. However, the recognition and classification
Ming Ho Li, Yi Yu, Hongni Wei, Ting On Chan   +3 more
doaj   +1 more source

Deep Learning‐Based Quantification of Spontaneous Pain Behaviours in Mice

European Journal of Pain, Volume 30, Issue 9, October 2026.
ABSTRACT Background Accurate evaluation of pain‐related behaviours in rodent models is crucial for elucidating pain mechanisms and assessing the efficacy of novel analgesic compounds. Traditional nociceptive assays primarily measure evoked responses, which have limited translational relevance since spontaneous pain is the predominant symptom in pain ...
Michele Zanoletti, Elisa Bellantoni, Lídia Pombo Gomes, Maria Luiza Quadros dos Santos, Daniel Souza Monteiro de Araújo, Gaetano De Siena, Sabrina Qader Kudsi, Romina Nassini, Marco Laurino, Francesco De Logu   +9 more
wiley   +1 more source

Optimized pap-smear image enhancement: hybrid Perona-Malik diffusion filter-CLAHE using spider monkey optimization [PDF]

Pap-smear image quality is crucial for cervical cancer detection. This study introduces an optimized hybrid approach that combines the Perona-Malik diffusion (PMD) filter with contrast-limited adaptive histogram equalization (CLAHE) to enhance pap-smear ...
Darti, Isnani, Anam, Syaiful, Khozaimi, Ach, Muharini Kusumawinahyu, Wuryansari   +3 more
core   +1 more source