In Medical Image Segmentation

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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 (CT) scans. The main goal of segmenting this data is to identify areas of the anatomy …

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 …

Medical Image Segmentation: A Complete Guide - Ango AI

https://ango.ai/medical-image-segmentation-guide/

Medical image segmentation is a simple extension of this concept within the medical domain. Commonly, medical image segmentation entails segmenting …

Loss odyssey in medical image segmentation

https://www.sciencedirect.com/science/article/pii/S1361841521000815

Recently, cross entropy and Dice loss have become the most commonly used loss functions in medical image segmentation tasks ( Milletari et al., 2016 ). For …

Medical Image Segmentation | Papers …

https://paperswithcode.com/task/medical-image-segmentation

LeeJunHyun/Image_Segmentation • • 20 Feb 2018. In …

(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

Image segmentation is therefore the most essential and crucial process for facilitating the delineation, characterization and visualization of regions of interest in any …

X-Net: a dual encoding–decoding method in medical …

https://link.springer.com/article/10.1007/s00371-021-02328-7

The segmentation of medical images is a significant work in the field of medical imageMethod processing [ 1, 2, 3 ]. It is used to distinguish the pixels of the …

Current methods in medical image segmentation - PubMed

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

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

Generative adversarial networks in medical image …

https://pubmed.ncbi.nlm.nih.gov/34864584/

Purpose: Since Generative Adversarial Network (GAN) was introduced into the field of deep learning in 2014, it has received extensive attention from academia and industry, and a …

Image segmentation | TensorFlow Core

https://www.tensorflow.org/tutorials/images/segmentation

In this case, you need to assign a class to each pixel of the image—this task is known as segmentation. A segmentation model returns much more detailed …

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