Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-020-01605-3
Abstract: To develop an automated pulmonary fibrosis (PF) segmentation methodology using a 3D multi-scale convolutional encoder-decoder approach following the robust atlas-based active volume model in thoracic CT for Rhesus Macaques with radiation-induced lung damage. 152 thoracic… read more here.
Keywords: convolutional encoder; scale convolutional; encoder decoder; segmentation ... See more keywords
Pathologic liver tumor detection using feature aligned multi-scale convolutional network
Sign Up to like & getrecommendations! Published in 2022 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2022.102244
Abstract: The detection of the most common type of liver tumor, that is, hepatocellular carcinoma (HCC), is one essential step to liver pathology image analysis. In liver tissue, common cell change phenomena such as apoptosis, necrosis,… read more here.
Keywords: scale convolutional; tumor; liver; detection ... See more keywords
RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2910513
Abstract: RNA-Protein binding plays important roles in the field of gene expression. With the development of high throughput sequencing, several conventional methods and deep learning-based methods have been proposed to predict the binding preference of RNA-protein… read more here.
Keywords: protein binding; scale convolutional; recurrent unit; rna protein ... See more keywords
Antimicrobial peptide identification using multi-scale convolutional network
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-3327-y
Abstract: BackgroundAntibiotic resistance has become an increasingly serious problem in the past decades. As an alternative choice, antimicrobial peptides (AMPs) have attracted lots of attention. To identify new AMPs, machine learning methods have been commonly used.… read more here.
Keywords: scale convolutional; network; convolutional network; model ... See more keywords
Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Fungi"
DOI: 10.3390/jof7100850
Abstract: Microbial keratitis is an infection of the cornea of the eye that is commonly caused by prolonged contact lens wear, corneal trauma, pre-existing systemic disorders and other ocular surface disorders. It can result in severe… read more here.
Keywords: scale convolutional; corneal; segmentation; multi scale ... See more keywords