Medical Image Segmentation Review

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Medical Image Segmentation Review: The success of U …

https://arxiv.org/abs/2211.14830

U-Net is the most widespread image segmentation architecture due to its flexibility, optimized modular design, and success in all medical image modalities. Over …

(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 …

Generative adversarial networks in medical image …

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

We categorized and summarized these papers according to the segmentation regions, imaging modality, and classification methods. Besides, we discussed the advantages, …

A review: Deep learning for medical image segmentation …

https://www.sciencedirect.com/science/article/pii/S2590005619300049

As pointed out in Ref. [28], the CT image can diagnose muscle and bone disorders, such as bone tumors and fractures, while the MR image can offer a good soft …

Anatomy-aided deep learning for medical image …

https://pubmed.ncbi.nlm.nih.gov/33906186/

Recently, some DL approaches had a breakthrough by using anatomical information which is the crucial cue for manual segmentation. In this paper, we provide a …

A Review of Medical Image Segmentation …

https://www.researchgate.net/publication/350820310_A_Review_of_Medical_Image_Segmentation_Algorithms

INTRODUCTION: Image segmentation in medical physics plays a vital role in image analysis to identify the affected tumour. The process of subdividing an …

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 …

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 …

Medical Image Segmentation Using Deep Learning: A …

https://arxiv.org/abs/2009.13120

Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in …

A Review of Uncertainty Estimation and its …

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

aleatoric uncertainty for MC sampling-based medical image segmentation tasks at both pixel and structure levels. Nair et al. [40] ﬁrst explored the multiple uncertainty estimates …

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