AIMC Journal:
IEEE transactions on medical imaging
Showing 221 to 230 of 687 articles
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.
IEEE transactions on medical imaging
Feb 2, 2023
Orthognathic surgery corrects jaw deformities to improve aesthetics and functions. Due to the complexity of the craniomaxillofacial (CMF) anatomy, orthognathic surgery requires precise surgical planning, which involves predicting postoperative change...
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.
IEEE transactions on medical imaging
Dec 29, 2022
Vessel segmentation is widely used to help with vascular disease diagnosis. Vessels reconstructed using existing methods are often not sufficiently accurate to meet clinical use standards. This is because 3D vessel structures are highly complicated a...
3D Soma Detection in Large-Scale Whole Brain Images via a Two-Stage Neural Network.
IEEE transactions on medical imaging
Dec 29, 2022
3D soma detection in whole brain images is a critical step for neuron reconstruction. However, existing soma detection methods are not suitable for whole mouse brain images with large amounts of data and complex structure. In this paper, we propose a...
Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction.
IEEE transactions on medical imaging
Dec 29, 2022
Prediction of abdominal aortic aneurysm (AAA) growth is of essential importance for the early treatment and surgical intervention of AAA. Capturing key features of vascular growth, such as blood flow and intraluminal thrombus (ILT) accumulation play ...
Toward Multicenter Skin Lesion Classification Using Deep Neural Network With Adaptively Weighted Balance Loss.
IEEE transactions on medical imaging
Dec 29, 2022
Recently, deep neural network-based methods have shown promising advantages in accurately recognizing skin lesions from dermoscopic images. However, most existing works focus more on improving the network framework for better feature representation b...
TNN: Tree Neural Network for Airway Anatomical Labeling.
IEEE transactions on medical imaging
Dec 29, 2022
Detailed anatomical labeling of bronchial trees extracted from CT images can be used as fine-grained maps for intra-operative navigation. To cater to the sparse distribution of airway voxels and large class imbalance in 3D image space, a graph-neural...
A Deep Learning Method for Motion Artifact Correction in Intravascular Photoacoustic Image Sequence.
IEEE transactions on medical imaging
Dec 29, 2022
In vivo application of intravascular photoacoustic (IVPA) imaging for coronary arteries is hampered by motion artifacts associated with the cardiac cycle. Gating is a common strategy to mitigate motion artifacts. However, a large amount of diagnostic...
Identify Representative Samples by Conditional Random Field of Cancer Histology Images.
IEEE transactions on medical imaging
Dec 2, 2022
Pathology analysis is crucial to precise cancer diagnoses and the succeeding treatment plan as well. To detect abnormality in histopathology images with prevailing patch-based convolutional neural networks (CNNs), contextual information often serves ...
Prior Attention Network for Multi-Lesion Segmentation in Medical Images.
IEEE transactions on medical imaging
Dec 2, 2022
The accurate segmentation of multiple types of lesions from adjacent tissues in medical images is significant in clinical practice. Convolutional neural networks (CNNs) based on the coarse-to-fine strategy have been widely used in this field. However...
A Unified Deep Learning Framework for ssTEM Image Restoration.
IEEE transactions on medical imaging
Dec 2, 2022
Serial section transmission electron micro-scopy (ssTEM) reveals biological information at a scale of nanometer and plays an important role in the ultrastructural analysis. However, due to the imperfect preparation of biological samples, ssTEM images...
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