Výsledky vyhledávání - "segmentation approach"

Report

Two-Phase Segmentation Approach for Accurate Left Ventricle Segmentation in Cardiac MRI using Machine Learning

Autor: Tamoor, Maria, Ali, Abbas Raza, Philip, Philemon, Adil, Ruqqayia, Shahid, Rabia, Naseer, Asma

Accurate segmentation of the Left Ventricle (LV) holds substantial importance due to its implications in disease detection, regional analysis, and the development of complex models for cardiac surgical planning. CMR is a golden standard for diagnosis

Externí odkaz: http://arxiv.org/abs/2407.20387

Zobrazit plný text záznamu

Report

A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO

Autor: Preanto, Sabit Ahamed, Ahad, Md. Taimur, Emon, Yousuf Rayhan, Mustofa, Sumaya, Alamin, Md

This research introduces an advanced method for diagnosing diseases in sweet orange leaves by utilising advanced artificial intelligence models like YOLOv8 . Due to their significance as a vital agricultural product, sweet oranges encounter significa

Externí odkaz: http://arxiv.org/abs/2409.06671

Zobrazit plný text záznamu

Report

Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss

Autor: Pande, Shivam, Uzun, Baki, Guiotte, Florent, Corpetti, Thomas, Delerue, Florian, Lefèvre, Sébastien

In this study, we tackle the challenge of identifying plant species from ultra high resolution (UHR) remote sensing images. Our approach involves introducing an RGB remote sensing dataset, characterized by millimeter-level spatial resolution, meticul

Externí odkaz: http://arxiv.org/abs/2409.00513

Zobrazit plný text záznamu

Report

Flatfish Disease Detection Based on Part Segmentation Approach and Disease Image Generation

Autor: Hwang, Seo-Bin, Kim, Han-Young, Heo, Chae-Yeon, Jung, Hie-Yong, Jung, Sung-Ju, Cho, Yeong-Jun

The flatfish is a major farmed species consumed globally in large quantities. However, due to the densely populated farming environment, flatfish are susceptible to injuries and diseases, making early disease detection crucial. Traditionally, disease

Externí odkaz: http://arxiv.org/abs/2407.11348

Zobrazit plný text záznamu

Akademický článek

Factors Driving Virtual Running Event Participation: A CHAID Segmentation Approach.

Autor: Frost, Bianca Lizelle¹, du Preez, Elizabeth Ann², Jordaan, Yolanda³

Publikováno v: Sport Marketing Quarterly. 2024, Vol. 33 Issue 4, p397-413. 17p.

Zobrazit plný text záznamu

Report

A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention

Autor: Kumar, Amarjeet, Jiang, Hongxu, Imran, Muhammad, Valdes, Cyndi, Leon, Gabriela, Kang, Dahyun, Nataraj, Parvathi, Zhou, Yuyin, Weiss, Michael D., Shao, Wei

Deep learning has become the de facto method for medical image segmentation, with 3D segmentation models excelling in capturing complex 3D structures and 2D models offering high computational efficiency. However, segmenting 2.5D images, which have hi

Externí odkaz: http://arxiv.org/abs/2405.00130

Zobrazit plný text záznamu

Report

Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition

Autor: Modaresi, Seyed M. R., Osmani, Aomar, Razzazi, Mohammadreza, Chibani, Abdelghani

Internet of Things (IoT) devices generate heterogeneous data over time; and relying solely on individual data points is inadequate for accurate analysis. Segmentation is a common preprocessing step in many IoT applications, including IoT-based activi

Externí odkaz: http://arxiv.org/abs/2404.11742

Zobrazit plný text záznamu