The Georgia Straight

Top 10 Best Image Processing Libraries in Python in 2026

Python is a preferred programming language for image processing, thanks to its broad selection of libraries that accommodate various image processing activities. This article will explore some of the ...
The Lancet

Decoding the molecular subtypes of breast cancer seen on multimodal ultrasound images using an assembled convolutional neural network model: A prospective and multicentre study

aDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China bUltrasound ...
GitHub

GSoC_2026

You are allowed to use the AI coding tool of your choice. You must submit the result as pull requests and must be able to answer and fix issues that the pull master requests. You are expected to ...
Scientific Research Publishing

Enhancing MRI Image Quality through Deep CNN-Augmented Denoising: A Comparative Study of Standard and Hybrid Filters ()

1 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Magnetic Resonance ...
Nature

Predicting fertilizer treating of maize using digital image processing and deep learning approaches

The quality and quantity of maize yields are declining as a result of several structural issues with Ethiopia’s traditional maize producing system. The lack of soil fertility, which is frequently hard ...
Frontiers

Improving remote sensing dehazing quality through local hybrid correction and optimization of atmospheric attenuation model based on wavelength

Near-ground remote sensing image dehazing is crucial for accurately monitoring land resources. An effective dehazing technique and a precise atmospheric attenuation model are fundamental to acquiring ...
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
LinkedIn

Computer Vision in Body Movement Interpretation: A Review of Frameworks

Computer vision has emerged as a transformative force, altering the way we view and interact with our surroundings in a time when technology is seamlessly integrated into daily life. The ...
Frontiers

Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
makeuseof

How to Build an Expense Tracker Using Python

Sai Ashish is a highly skilled software engineer with industry experience in coding, designing, deploying, and debugging development projects. He is a former Google Developer Students Club lead and ...
makeuseof

Master Image Enhancement Techniques With OpenCV

Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. Image enhancement is a crucial ...