Medical Image Processing

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-resolution Parallel Residual CNN
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-resolution Parallel Residual CNN
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
Pulmonary Nodule Risk Classification in Adenocarcinoma from CT Images Using Deep CNN with Scale Transfer Module
Pulmonary nodules risk classification in adenocarcinoma is essential for early detection of lung cancer and clinical treatment …
PDF Cite DOI
Pulmonary Nodule Risk Classification in Adenocarcinoma from CT Images Using Deep CNN with Scale Transfer Module