Aug 11, 2021 · In this paper, we present a method of combining U-net, dense blocks and dilated convolution to segment lesions objectively, so as to give a help in diagnosing ...
Abstract. With the development of computer technology, more and more deep learning algorithms are widely used in medical image processing.
The dilated dense U-net for spinal fracture lesions segmentation
dl.acm.org › doi › abs › JIFS-211063
Jan 1, 2021 · In this paper, we present a method of combining U-net, dense blocks and dilated convolution to segment lesions objectively, so as to give a help in diagnosing ...
The experiments show that DDU-net has a good segmentation performance of spinal lesions, which can build a solid foundation for both doctors and patients.
Apr 14, 2023 · This paper proposes a novel augmented model for spinal cord segmentation and tumor classification using deep nets to overcome this limitation.
Mar 7, 2023 · We propose a U-net-based detection method designed to extract rib fracture features at the pixel level to find rib fractures rapidly and precisely.
Jul 2, 2021 · For vertebral body segmentation, we used a recurrent residual U-Net model, with an average sensitivity of 0.934 (± 0.086), an average ...
We design a simple yet powerful dual dense u-structured network (called DDU-Net) for medical image segmentation.
Missing: spinal fracture
In this paper, we construct a scheme for spinal fracture lesions segmentation based on U-net, by introducing attention module, combining dilated convolution and ...
The goal of this paper is to examine the numerous advancements and innovations in the U-Net architecture, as well as recent trends.
Missing: fracture | Show results with:fracture