Training CNNs for image registration from few samples with model-based data augmentation
Convolutional neural networks (CNNs) have been successfully used for fast and accurate
estimation of dense correspondences between images in computer vision applications …
estimation of dense correspondences between images in computer vision applications …
Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network
Automated multi-organ abdominal Computed Tomography (CT) image segmentation can
assist the treatment planning, diagnosis, and improve many clinical workflows' efficiency …
assist the treatment planning, diagnosis, and improve many clinical workflows' efficiency …
An augmentation strategy for medical image processing based on statistical shape model and 3D thin plate spline for deep learning
Z Tang, K Chen, M Pan, M Wang, Z Song - IEEE Access, 2019 - ieeexplore.ieee.org
At present, deep learning has been widely adopted in medical image processing. However,
the current deep neural networks depend on a large number of labeled training data, but …
the current deep neural networks depend on a large number of labeled training data, but …
[HTML][HTML] Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization
M Nakao, M Nakamura, T Mizowaki, T Matsuda - Medical image analysis, 2021 - Elsevier
Respiratory motion and the associated deformations of abdominal organs and tumors are
essential information in clinical applications. However, inter-and intra-patient multi-organ …
essential information in clinical applications. However, inter-and intra-patient multi-organ …
Deep belief network and closed polygonal line for lung segmentation in chest radiographs
T Peng, TC Xu, Y Wang, F Li - The Computer Journal, 2022 - academic.oup.com
Due to the varying appearance in the upper clavicle bone region, sharp corner at the
costophrenic angle, the presence of strong edges at the rib cage and clavicle and the lack of …
costophrenic angle, the presence of strong edges at the rib cage and clavicle and the lack of …
[HTML][HTML] Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training
The inference of cortical sulcal labels often focuses on deep (primary and secondary) sulcal
regions, whereas shallow (tertiary) sulcal regions are largely overlooked in the literature due …
regions, whereas shallow (tertiary) sulcal regions are largely overlooked in the literature due …
Affine medical image registration with fusion feature mapping in local and global
W Ji, F Yang - Physics in Medicine & Biology, 2024 - iopscience.iop.org
Objective. Medical image affine registration is a crucial basis before using deformable
registration. On the one hand, the traditional affine registration methods based on step-by …
registration. On the one hand, the traditional affine registration methods based on step-by …
A systematic comparison of generative models for medical images
Purpose This work aims for a systematic comparison of popular shape and appearance
models. Here, two statistical and four deep-learning-based shape and appearance models …
models. Here, two statistical and four deep-learning-based shape and appearance models …
Construction of a pathway-level model for preeclampsia based on gene expression data
A He, KC Yip, D Lu, J Liu, Z Zhang, X Wang… - Hypertension …, 2024 - nature.com
Preeclampsia (PE) is a heterogeneous disease that seriously affects the health of mothers
and fetuses. Lack of detection assays, its diagnosis and intervention are often delayed when …
and fetuses. Lack of detection assays, its diagnosis and intervention are often delayed when …
A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data
Abstract Statistical Shape Models (SSMs) have achieved considerable success in medical
image segmentation. A high quality SSM is able to approximate the main plausible …
image segmentation. A high quality SSM is able to approximate the main plausible …