Results 41 to 50 of about 6,083 (212)

Sequential Patterning of Photoresponsive Hydrogels Directs Crypt Fission and Reveals the Role of Epithelial Curvature on Fission Symmetry

Advanced Science, EarlyView.
Deterministic crypt fission is achieved in intestinal organoids using photopatternable hydrogels with spatiotemporal control. Daughter‐crypt symmetry is shown to depend on parent‐crypt geometry and epithelial curvature, while myosin‐dependent mechanosensing links tissue shape to regenerative outcomes.
Delaney L. McNally, Kaustav Bera, Nolan R. Petrich, Alex Khang, Marilyne Coulombe, David Castillo‐Azofeifa, Ophir D. Klein, Peter J. Dempsey, Kristi S. Anseth   +8 more
wiley   +1 more source

Proposed CLAHE-CapsNet architecture.

, 2023
Manual detection of eye diseases using retina Optical Coherence Tomography (OCT) images by Ophthalmologists is time consuming, prone to errors and tedious.
Benjamin Asubam Weyori (17508735), Michael Opoku (17508732), Kwabena Adu (17508741), Adebayo Felix Adekoya (17508738)   +3 more
core   +1 more source

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

Advanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li, Pengjie Li, Kaiting Zhang, Yongqi Guo, Peng Chen, Bi‐Feng Liu, Yiwei Li   +6 more
wiley   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Impact of Image Contrast Enhancement on Stability of Radiomics Feature Quantification on a 2D Mammogram Radiograph

IEEE Access, 2020
The present work aimed to evaluate the reproducibility of radiomics features derived from manual delineation and semiautomatic segmentation after enhancement using the Contrast Limited Adaptive Histogram Equalization (CLAHE) and Adaptive Histogram ...
Siti Fairuz Mat Radzi, Muhammad Khalis Abdul Karim, M Iqbal Saripan, Mohd Amiruddin Abd Rahman, Nurul Huda Osman, Entesar Zawam Dalah, Noramaliza Mohd Noor   +6 more
doaj   +1 more source

IVyTools: Space–Time Image Velocimetry for Streamflow

River Research and Applications, EarlyView.
ABSTRACT Accurate streamflow measurements are essential for hydrologic monitoring, flood forecasting, and water resource management. Traditional in situ methods, although reliable, are often impractical or unsafe during flood conditions or at inaccessible locations. Image velocimetry techniques offer a potential non‐contact alternative, yet operational
Frank L. Engel, Travis M. Knight, Elizabeth A. Nystrom, Christopher B. Grindle   +3 more
wiley   +1 more source

Water Classification Using Convolutional Neural Network

IEEE Access, 2023
The classification of water sources is a challenging task due to the low contrast texture features, the visual similarities between them, and the causes posed by image acquisition with different camera angles and placements. The various image enhancement
Saira Asghar, Ghulam Gilanie, Mubbashar Saddique, Hafeez Ullah, Heba G. Mohamed, Irshad Ahmed Abbasi, Mohamed Abbas   +6 more
doaj   +1 more source

starU‐Net: An enhanced U‐Net architecture with star operation and multi‐view fusion for improved vessel segmentation

VIEW, EarlyView.
Low‐contrast capillaries are often missed or fragmented by segmentation models, so we developed a shallow four‐level starU‐Net that combines star operation‐based feature extraction with dynamic snake convolution‐based multi‐view fusion for improved thin vessel continuity.
Mengwei Bai, Li Tong, Jing Lin, Peng Huang   +3 more
wiley   +1 more source

An Automated Contrast Enhancement Technique for Remote Sensed Images [PDF]

IJCI International Journal of Computers and Information
Remote sensing images often exhibit lower contrast than usual. Contrast Limited Adaptive Histogram Equalization (CLAHE) is a well-established and robust local contrast enhancement algorithm, renowned for its high-quality results, particularly in the ...
Khalid Amin, Omar Kamel, Noura Semary, Nagwa Aboelenien   +3 more
doaj   +1 more source

Improved Oct Image Enhancement using Clahe

International Journal of Innovative Technology and Exploring Engineering, 2019
Medical image processing is a challenging research field, since most captured images suffer from noise and poor contrast nature. The accuracy of details present in the medical image depends entirely on the captured image quality. The factor that affects the quality of the images includes poor illumination conditions, capturing devices and inexperienced
Saya Nandini Devi M*, Santhi S
openaire   +1 more source