Deep learning methods in image matting: a survey

L Huang, X Liu, X Wang, J Li, B Tan - Applied Sciences, 2023 - mdpi.com
Image matting is a fundamental technique used to extract a fine foreground image from a
given image by estimating the opacity values of each pixel. It is one of the key techniques in …

[HTML][HTML] Medical matting: Medical image segmentation with uncertainty from the matting perspective

L Wang, X Ye, L Ju, W He, D Zhang, X Wang… - Computers in Biology …, 2023 - Elsevier
High-quality manual labeling of ambiguous and complex-shaped targets with binary masks
can be challenging. The weakness of insufficient expression of binary masks is prominent in …

Medical matting: a new perspective on medical segmentation with uncertainty

L Wang, L Ju, D Zhang, X Wang, W He… - … Image Computing and …, 2021 - Springer
In medical image segmentation, it is difficult to mark ambiguous areas accurately with binary
masks, especially when dealing with small lesions. Therefore, it is a challenge for …

Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer

M Ragab, OA Omer, M Abdel-Nasser - Neural Computing and Applications, 2020 - Springer
Magnetic resonance imaging (MRI) has exhibited an outstanding performance in the track of
medical imaging compared to several imaging modalities, such as X-ray, positron emission …

3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography

L Wang, X Ye, D Zhang, W He, L Ju, Y Luo… - Computers in Biology …, 2022 - Elsevier
Usually, lesions are not isolated but are associated with the surrounding tissues. For
example, the growth of a tumour can depend on or infiltrate into the surrounding tissues …

[HTML][HTML] Three-dimensional organ extraction method for color volume image based on the closed-form solution strategy

B Liu, X Zhang, L Yang, J Zhang - Quantitative Imaging in Medicine …, 2020 - ncbi.nlm.nih.gov
With the rapid development of computer technology, surgical training, and the digitalized
teaching of human body morphology are gaining prominence in medical education …