A bidirectional multilayer contrastive adaptation network with anatomical structure preservation for unpaired cross-modality medical image segmentation
H Liu, Y Zhuang, E Song, X Xu, CC Hung - Computers in Biology and …, 2022 - Elsevier
Multi-modal medical image segmentation has achieved great success through supervised
deep learning networks. However, because of domain shift and limited annotation …
deep learning networks. However, because of domain shift and limited annotation …
Hepatic vein and arterial vessel segmentation in liver tumor patients
Preoperative observation of liver status in patients with liver tumors by abdominal Computed
Tomography (CT) imaging is one of the essential references for formulating surgical plans …
Tomography (CT) imaging is one of the essential references for formulating surgical plans …
[PDF][PDF] A Comparison of Applying Image Processing and Deep Learning in Acne Region Extraction
Quantifying acne on face images is considered as a challenging task due to the complex
skin surfaces, irregular edges and diverse appearances of acnes. A key in this campaign …
skin surfaces, irregular edges and diverse appearances of acnes. A key in this campaign …
An Unpaired Cross-Modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and …
Y Zhuang, H Liu, E Song, C Cetinkaya… - International MICCAI …, 2022 - Springer
The crossMoDA challenge aims to automatically segment the vestibular schwannoma (VS)
tumor and cochlea regions of unlabeled high-resolution T2 scans by leveraging labeled …
tumor and cochlea regions of unlabeled high-resolution T2 scans by leveraging labeled …
A novel internet of things based on deep neural network framework using soft-attention convolutional neural networks for COVID-19 detection
Background: The impact of coronavirus (COVID-19) pandemic on health care is universal.
The risks resulting from emerging contagious viruses and the efficacy of vaccines are …
The risks resulting from emerging contagious viruses and the efficacy of vaccines are …