Arrow detection in biomedical images using sequential classifier
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0623-y
Abstract: Biomedical images are often complex, and contain several regions that are annotated using arrows. Annotated arrow detection is a critical precursor to region-of-interest (ROI) labeling, which is useful in content-based image retrieval (CBIR). In this… read more here.
Keywords: detection; sequential classifier; classifier; biomedical images ... See more keywords
The Importance of Dithering Technique Revisited With Biomedical Images—A Survey
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2888503
Abstract: Dithering is used regularly for printing monochrome images. Newspaper photographs are dithered for example. In the monochrome images, each pixel is stored as a single bit. The smallest unit of the digital image is a… read more here.
Keywords: biomedical images; importance dithering; image; dithering technique ... See more keywords
An Augmented Reality Approach to Visualize Biomedical Images
Sign Up to like & getrecommendations! Published in 2019 at "Computer-Aided Design and Applications"
DOI: 10.14733/cadaps.2019.1195-1208
Abstract: One of the technologies that is showing the most potential in an always widening range of applications, from entertainment to design and even healthcare, is Augmented Reality (AR). The most de ning characteristic of AR… read more here.
Keywords: reality approach; biomedical images; augmented reality; visualization ... See more keywords
Efficiency of Image Fusion Technique Using DCT-FP with Modified PCA for Biomedical Images
Sign Up to like & getrecommendations! Published in 2020 at "Biochemical and Biophysical Research Communications"
DOI: 10.21786/bbrc/13.3/14
Abstract: The main issue with the multi-focus images lies in obtaining the relative information about the identification of objects in the individual images with less resolution. Hence the image fusion methods have attracted attention to obtain… read more here.
Keywords: image; fusion technique; biomedical images; efficiency image ... See more keywords
AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12122952
Abstract: Semantic segmentation of biomedical images found its niche in screening and diagnostic applications. Recent methods based on deep learning convolutional neural networks have been very effective, since they are readily adaptive to biomedical applications and… read more here.
Keywords: segmentation; architecture; biomedical images; segmentation biomedical ... See more keywords