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 ...

Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective in evaluating ...

Brain tumor detection and segmentation are critical tasks in medical imaging analysis for diagnosis and treatment planning. In recent years, computer vision techniques, particularly those implemented ...

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Abstract: Image segmentation is of great importance in understanding and analysing objects within images. The process involves dividing vague images into meaningful and useful ones by segmenting them ...

Abstract: Image segmentation is the process of dividing a digital image into multiple segments or clusters. The goal of segmentation is to simplify and/or change the representation of an image into ...