Image Segmentation Using the Cahn–Hilliard Equation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-018-00899-7
Abstract: In this paper, we propose a novel model for image segmentation by using the Cahn–Hilliard equation. An interesting feature of this model lies in its ability of interpolating missing contours along wide gaps in order… read more here.
Keywords: using cahn; segmentation using; segmentation; image segmentation ... See more keywords
Mammogram segmentation using multi-atlas deformable registration.
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.06.001
Abstract: Accurate breast region segmentation is an important step in various automated algorithms involving detection of lesions like masses and microcalcifications, and efficient telemammography. While traditional segmentation algorithms underperform due to variations in image quality and… read more here.
Keywords: segmentation using; using multi; segmentation; mammogram segmentation ... See more keywords
Deep-DM: Deep-Driven Deformable Model for 3D Image Segmentation Using Limited Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3440171
Abstract: Objective - Medical image segmentation is essential for several clinical tasks, including diagnosis, surgical and treatment planning, and image-guided interventions. Deep Learning (DL) methods have become the state-of-the-art for several image segmentation scenarios. However, a… read more here.
Keywords: segmentation; image; image segmentation; segmentation using ... See more keywords
Self-Supervised Drivable Area and Road Anomaly Segmentation Using RGB-D Data For Robotic Wheelchairs
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2019.2932874
Abstract: The segmentation of drivable areas and road anomalies are critical capabilities to achieve autonomous navigation for robotic wheelchairs. The recent progress of semantic segmentation using deep learning techniques has presented effective results. However, the acquisition… read more here.
Keywords: self supervised; robotic wheelchairs; road; segmentation ... See more keywords
Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3394261
Abstract: Recent advances in deep learning have greatly facilitated the automated segmentation of ultrasound images, which is essential for nodule morphological analysis. Nevertheless, most existing methods depend on extensive and precise annotations by domain experts, which… read more here.
Keywords: asymmetric learning; segmentation; ultrasound nodule; using asymmetric ... See more keywords
Medical Image Segmentation Using the Kohonen Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2019.8863176
Abstract: An important definition of image segmentation is to divide an image into its features. This is a very important area in image processing field. The nontrivial image segmentation task is one of the most difficult… read more here.
Keywords: image segmentation; using kohonen; medical image; image ... See more keywords
Improved Unsupervised Color Segmentation Using a Modified Color Model and a Bagging Procedure in -Means++ Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/2786952
Abstract: Accurate color image segmentation has stayed as a relevant topic between the researches/scientific community due to the wide range of application areas such as medicine and agriculture. A major issue is the presence of illumination… read more here.
Keywords: color; color segmentation; segmentation using; segmentation ... See more keywords