Anatomy|aided deep learning for medical image segmentation with ...

Anatomy-aided deep learning for medical image segmentation

Anatomy-aided deep learning for medical image segmentation: a review, Lu Liu, Jelmer M Wolterink, Christoph Brune, Raymond N J Veldhuis.

Anatomy-aided deep learning for medical image segmentation

Deep learning (DL) has become widely used for medical image segmentation in recent years. However, despite these advances, there are still ...

Anatomy-aided deep learning for medical image segmentation

Deep learning (DL) has become widely used for medical image segmentation in recent years. However, despite these advances, there are still problems for which DL ...

Anatomy-aided deep learning for medical image segmentation with ...

This thesis emphasizes the integration of anatomical information, particularly the shape of the pericardium, into segmentation methodologies.

Anatomy-aided deep learning for medical image segmentation

With LS representation,. the active contour model (ACM)is widely used for image segmentation. ... thresholding, region-growing, or edge detection, ...

Anatomy-aided deep learning for medical image segmentation

A review of anatomy-aided DL for medical image segmentation which covers systematically summarized anatomical information categories and ...

Deep learning for medical image segmentation: State-of-the-art ...

The use of layers in deep neural networks, like object form recognition in higher layers and basic edge identification in lower layers, has markedly improved ...

Annotation-efficient deep learning for automatic medical image ...

Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning ...

Anatomy-Aided Deep Learning for Medical Image Segmentation

Anatomy-aided DL for medical image segmentation which covers systematically summarized anatomical information categories and corresponding representation ...

Advancing Medical Image Segmentation with Mini-Net - arXiv

Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis.

Deep learning approaches to biomedical image segmentation

The review covers automatic segmentation of images by means of deep learning approaches in the area of medical imaging.

[PDF] Deep Learning Techniques for Medical Image Segmentation

A critical appraisal of popular methods that have employed deep learning techniques for medical image segmentation is presented and the most common ...

Object recognition in medical images via anatomy-guided deep ...

Purpose: Despite advances in deep learning, robust medical image segmentation in the presence of artifacts, pathology, and other imaging shortcomings has ...

Medical image segmentation using deep learning: A survey

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

MIScnn: a framework for medical image segmentation with ...

By default, 2D medical images are fitted completely into the convolutional neural network and deep learning models. Still, a 2D patch-wise ...

Advancing Medical Image Segmentation with Mini-Net - arXiv

Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis. While ...

Segment anything in medical images | Nature Communications

Deep learning-based models have shown great promise in medical image segmentation due to their ability to learn intricate image features and ...

A Review of Deep-Learning-Based Medical Image Segmentation ...

Now it has become an important research direction in the field of computer vision. With the rapid development of deep learning, medical image processing based ...

A review of deep learning based methods for medical image multi ...

Deep learning has revolutionized image processing and achieved the-state-of-art performance in many medical image segmentation tasks.

Deep Learning Techniques for Medical Image Segmentation

Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to ...