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Deep Learning Techniques for Medical Image …

    https://pubmed.ncbi.nlm.nih.gov/31144149/
    Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. ... In this article, we present a critical appraisal of popular methods that have employed deep-learning techniques for medical image segmentation. …

Medical Image Segmentation - an overview

    https://www.sciencedirect.com/topics/engineering/medical-image-segmentation
    Medical image segmentation has automatic or semiautomatic detection of the two-dimensional (2D), or three-dimensional (3D), image. Image segmentation is the …

(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 radiologist's manual segmentation of the medical image is not just a tedious and time-consuming technique, also not very accurate, especially with the …

Medical Image Segmentation Methods, Algorithms, and …

    https://www.tandfonline.com/doi/full/10.1080/02564602.2014.906861
    Medical images have made a great impact on medicine, diagnosis, and treatment. The most important part of image processing is image segmentation. Many …

What Is Medical Image Segmentation and How Does It …

    https://www.synopsys.com/glossary/what-is-medical-image-segmentation.html
    Medical image segmentation involves the extraction of regions of interest (ROIs) from 3D image data, such as from Magnetic Resonance Imaging (MRI) or Computed Tomography …

Automated medical image segmentation techniques

    https://pubmed.ncbi.nlm.nih.gov/20177565/
    Accurate segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the …

Image Segmentation Techniques for Healthcare …

    https://www.hindawi.com/journals/jhe/si/480657/
    Image segmentation consists in partitioning any kind of digital image (e.g., medical, astronomical, and natural) into multiple sets of pixels. The aim of the …

Medical Image Segmentation Methods, Algorithms, and …

    https://www.researchgate.net/publication/263608069_Medical_Image_Segmentation_Methods_Algorithms_and_Applications
    Medical images have made a great impact on medicine, diagnosis, and treatment. The most important part of image processing is image segmentation.

Active Contour Based Segmentation Techniques for …

    https://www.intechopen.com/chapters/59741
    The application of active contour models for segmentation is used in various medical image processing techniques. 2-D and 3-D segmentation of the medical images is performed to obtain the exact …

Image Segmentation Techniques [Step By Step …

    https://www.upgrad.com/blog/image-segmentation-techniques/
    1. Thresholding Segmentation. The simplest method for segmentation in image processing is the threshold method. It divides the pixels in an image by comparing …



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