1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...

Abstract: In this paper, we introduce a novel approach for active contours with free endpoints. A scheme for image segmentation is presented based on a discrete version of the Mumford-Shah functional ...

Mean shift clustering is a centroid-based algorithm effective for unsupervised learning applications. The algorithm shifts data points towards the mean of surrounding points to form clusters. Like ...

Python has emerged as a leading programming language due to its ease of use and versatility. The language supports multiple programming paradigms, enhancing its applicability across various domains.

Abstract: Image segmentation is a basic and important strategy to extract the region of interesting (ROI). However the ROI of retinal fundus image, such as the foreground or optic disc, often could ...