A partial convolution generative adversarial network for lesion synthesis and enhanced liver tumor segmentation
Lesion segmentation is critical for clinicians to accurately stage the disease and determine
treatment strategy. Deep learning based automatic segmentation can improve both the …
treatment strategy. Deep learning based automatic segmentation can improve both the …
Three-dimensional ultrasound image reconstruction based on 3D-ResNet in the musculoskeletal system using a 1D probe: ex vivo and in vivo feasibility studies
Q Zou, Y Huang, J Gao, B Zhang… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. Three-dimensional (3D) ultrasound (US) is needed to provide sonographers with
a more intuitive panoramic view of the complex anatomical structure, especially the …
a more intuitive panoramic view of the complex anatomical structure, especially the …
Adaptive tetrahedral interpolation for reconstruction of uneven freehand 3D ultrasound
Objective. Freehand 3D ultrasound volume reconstruction has received considerable
attention in medical research because it can freely perform spatial imaging at a low cost …
attention in medical research because it can freely perform spatial imaging at a low cost …
Free-form lesion synthesis using a partial convolution generative adversarial network for enhanced deep learning liver tumor segmentation
Automatic deep learning segmentation models has been shown to improve both the
segmentation efficiency and the accuracy. However, training a robust segmentation model …
segmentation efficiency and the accuracy. However, training a robust segmentation model …
Classification and segmentation algorithm in benign and malignant pulmonary nodules under different CT reconstruction
Z Lu, F Long, X He - Computational and Mathematical Methods …, 2022 - Wiley Online Library
Background and Objective. Effective segmentation of pulmonary nodules can effectively
assist in the diagnosis of benign and malignant pulmonary nodules. We aim to explore the …
assist in the diagnosis of benign and malignant pulmonary nodules. We aim to explore the …
[PDF][PDF] Research on Multimodal 3D Face Recognition Method Based on Deep Learning.
J Zhang, C Pan, J Huang - Engineering Letters, 2023 - engineeringletters.com
In order to improve the effectiveness and accuracy of multimodal 3D face recognition, this
paper proposes a multimodal 3D face recognition method based on deep learning. Firstly, a …
paper proposes a multimodal 3D face recognition method based on deep learning. Firstly, a …
The Role of Deep Learning in Medical Image Inpainting: A Systematic Review
JC Santos, H Tomás Pereira Alexandre… - ACM Transactions on … - dl.acm.org
Image inpainting is a crucial technique in computer vision, particularly for reconstructing
corrupted images. In medical imaging, it addresses issues from instrumental errors, artifacts …
corrupted images. In medical imaging, it addresses issues from instrumental errors, artifacts …