Dense Dilated Deep Multiscale Supervised U-Network for biomedical image segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2022.105274
Abstract: Biomedical image segmentation is essential for computerized medical image analysis. Deep learning algorithms allow us to design state-of-the-art models for solving segmentation problems. The U-Net and its variants have provided positive results across various datasets.… read more here.
Keywords: image; segmentation; level; image segmentation ... See more keywords
A Robust Feature Descriptor for Biomedical Image Retrieval
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DOI: 10.1016/j.irbm.2020.06.007
Abstract: Abstract Biomedical image retrieval is a crucial side of computer-aided diagnosis. It helps the radiologist and medical specialist to spot and perceive the specific disease. This paper proposed an efficient approach for retrieving similar biomedical… read more here.
Keywords: descriptor; image; image retrieval; robust feature ... See more keywords
Capsules for Biomedical Image Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101889
Abstract: Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature. This is made possible via the introduction of locally-constrained routing and transformation matrix sharing,… read more here.
Keywords: image; segmentation; image segmentation; capsules biomedical ... See more keywords
Unsupervised Domain Adaptation Network With Category-Centric Prototype Aligner for Biomedical Image Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3063634
Abstract: With the widespread success of deep learning in biomedical image segmentation, domain shift becomes a critical and challenging problem, as the gap between two domains can severely affect model performance when deployed to unseen data… read more here.
Keywords: image segmentation; biomedical image; unsupervised domain; segmentation ... See more keywords
Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2021.3123567
Abstract: Segmentation is a fundamental task in biomedical image analysis. Unlike the existing region-based dense pixel classification methods or boundary-based polygon regression methods, we build a novel graph neural network (GNN) based deep learning framework with… read more here.
Keywords: biomedical image; region boundary; region; graph ... See more keywords
PyConvU-Net: a lightweight and multiscale network for biomedical image segmentation
Sign Up to like & getrecommendations! Published in 2021 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-03943-2
Abstract: Background With the development of deep learning (DL), more and more methods based on deep learning are proposed and achieve state-of-the-art performance in biomedical image segmentation. However, these methods are usually complex and require the… read more here.
Keywords: biomedical image; pyconvu net; lightweight multiscale; image segmentation ... See more keywords
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15100386
Abstract: It is well known that biomedical imaging analysis plays a crucial role in the healthcare sector and produces a huge quantity of data. These data can be exploited to study diseases and their evolution in… read more here.
Keywords: neural network; biomedical image; artificial neural; image classification ... See more keywords