Application Of Image Segmentation In Medical Imaging

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Medical Image Segmentation - an overview

https://www.sciencedirect.com/topics/engineering/medical-image-segmentation

Medical image segmentation methods are often derived from the state-of-the-art techniques of image segmentation (Elnakib et al., 2011; Dey and Ashour, 2018; Hore et al., 2016; Dey et al., 2018; Rajinikanth et al., 2018). Different segmentation techniques include (1) …

Medical Image Segmentation: Methods and Applications …

https://link.springer.com/chapter/10.1007/0-306-48606-7_3

Image Segmentation Input Function Positron Emission Tomography Study Soft Tissue Sarcoma These keywords were added by machine and not by the authors. This process …

What Is Medical Image Segmentation and How Does It …

https://www.synopsys.com/glossary/what-is-medical-image-segmentation.html

One of the key benefits of medical image segmentation is that it allows for a more precise analysis of anatomical data by isolating only necessary areas. For certain procedures, …

(PDF) Medical Image Segmentation A Review of Recent …

https://www.researchgate.net/publication/335811563_Medical_Image_Segmentation_A_Review_of_Recent_Techniques_Advancements_and_a_Comprehensive_Comparison

The most important medical imaging procedure is image segmentation, which isolates the region of interest (ROI) and makes it easier to extract various …

A Review of Uncertainty Estimation and its …

https://arxiv.org/pdf/2302.08119v1

of medical image segmentation. In short, the application of uncertainty generation in medical image segmentation will be one of the emerging directions for reliable and …

Current methods in medical image segmentation - PubMed

https://pubmed.ncbi.nlm.nih.gov/11701515/

Image segmentation plays a crucial role in many medical-imaging applications, by automating or facilitating the delineation of anatomical structures and other regions of …

Biomedical Image Segmentation

https://iq.opengenus.org/biomedical-image-segmentation/

In the Biomedical field segmented images can be used for anomaly detection, diagnosing diseases, computer-integrated surgery, treatment planning, studying anatomical …

Systematic Review of Generative Adversarial Networks …

https://link.springer.com/article/10.1007/s10278-021-00556-w

Starting from 2017, GANs have been applied to various medical imaging modalities including screening modalities, like x-ray (mammography and chest), …

Image segmentation: methods and applications in …

https://pubmed.ncbi.nlm.nih.gov/8348907/

Abstract. We review and discuss different classes of image segmentation methods. The usefulness of these methods is illustrated by a number of clinical cases. Segmentation is …

Comparison of automated segmentation techniques for …

https://bmcmedimaging.biomedcentral.com/articles/10.1186/s12880-023-00974-y

Segmenting anatomical regions of interest (ROIs) such as organs and lesions in medical images is a standard procedure in many medical workflows. In radiotherapy, …

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