Medical Image Segmentation Methods

[2101.00232] Cutting-edge 3D Medical …

https://arxiv.org/abs/2101.00232

Medical Image Segmentation - an overview

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

Different segmentation techniques include (1) traditional methods: threshold segmentation, region growth segmentation, (2) classification and clustering methods: K-nearest …

Medical image segmentation using deep semantic-based …

https://www.sciencedirect.com/science/article/pii/S1566253522001695

Deep learning-based architectures 4.1. Model compression-based image segmentation. For the segmentation of larger medical images like high-definition... 4.2. …

Current Methods in Medical Image Segmentation

https://www.annualreviews.org/doi/full/10.1146/annurev.bioeng.2.1.315

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 …

Grayscale medical image segmentation method based …

https://bmcmedimaging.biomedcentral.com/articles/10.1186/s12880-022-00760-2

Medical image segmentation has been widely applied to make images clearer with anatomical or pathological structures changes , such as bone segmentation …

Current Methods in Medical Image Segmentation

https://www.annualreviews.org/doi/10.1146/annurev.bioeng.2.1.315

We divide segmentation methods into eight categories: ( a) thresholding approaches, ( b) region growing approaches, ( c) classifiers, ( d) clustering approaches, ( e) Markov …

Deep Learning Techniques for Medical Image …

https://link.springer.com/content/pdf/10.1007/s10278-019-00227-x.pdf

these structures in medical image segmentation. 2DCNN With the promising capability of a CNN in performing image classification and pattern recognition, applying a CNN to …

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 …

A Review of Deep-Learning-Based Medical Image …

https://www.researchgate.net/publication/348771100_A_Review_of_Deep-Learning-Based_Medical_Image_Segmentation_Methods

By explaining its research status and summarizing the three main methods of medical image segmentation and their own limitations, the future development …

Current methods in medical image segmentation - PubMed

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

We present a critical appraisal of the current status of semi-automated and automated methods for the segmentation of anatomical medical images. Terminology and important …