Medical Image Processing

An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation
To develop a quantitative analysis method for right diaphragm deformation. This method is based on optical flow and applied to …
PDF Cite DOI
An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation
A multimodal transformer to fuse images and metadata for skin disease classification
Skin disease cases are rising in prevalence, and the diagnosis of skin diseases is always a challenging task in the clinic. Utilizing …
PDF Cite DOI
A multimodal transformer to fuse images and metadata for skin disease classification
Images denoising for COVID-19 chest X-ray based on multi-scale parallel convolutional neural network
Chest X-ray (CXR) is a medical imaging technology that is common and economical to use in clinical. Recently, coronavirus (COVID-19) …
PDF Cite DOI
Images denoising for COVID-19 chest X-ray based on multi-scale parallel convolutional neural network
MC-DC: An MLP-CNN Based Dual-path Complementary Network for Medical Image Segmentation
Fusing the CNN and Transformer in the encoder has recently achieved outstanding performance in medical image segmentation. However, two …
PDF Cite DOI
MC-DC: An MLP-CNN Based Dual-path Complementary Network for Medical Image Segmentation
TD-Net: Trans-Deformer network for automatic pancreas segmentation. Neurocomputing
Accurate and efficient pancreas segmentation is the basis for subsequent diagnosis and qualitative treatment of pancreatic cancer. …
PDF Cite DOI
TD-Net: Trans-Deformer network for automatic pancreas segmentation. Neurocomputing
MA-Net: Mutex attention network for COVID-19 diagnosis on CT images
COVID-19 is an infectious pneumonia caused by 2019-nCoV. The number of newly confirmed cases and confirmed deaths continues to remain …
PDF Cite DOI
MA-Net: Mutex attention network for COVID-19 diagnosis on CT images
MXT: A New Variant of Pyramid Vision Transformer for Multi-label Chest X-ray Image Classification
Nowadays, the global COVID-19 situation is still serious, and the new mutant virus Delta has already spread all over the world. The …
PDF Cite DOI
MXT: A New Variant of Pyramid Vision Transformer for Multi-label Chest X-ray Image Classification
3D gray density coding feature for benign-malignant pulmonary nodule classification on chest CT
Early detection is significant to reduce lung cancer-related death. Computer-aided detection system (CADs) can help radiologists to …
PDF Cite DOI
3D gray density coding feature for benign-malignant pulmonary nodule classification on chest CT
A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images
At the end of 2019, a novel coronavirus COVID-19 broke out. Due to its high contagiousness, more than 74 million people have been …
PDF Cite DOI
A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images
COVID-19 lesion discrimination and localization network based on multi-receptive field attention module on CT images
Since discovered in Hubei, China in December 2019, Corona Virus Disease 2019 named COVID-19 has lasted more than one year, and the …
PDF Cite DOI
COVID-19 lesion discrimination and localization network based on multi-receptive field attention module on CT images