Retrieve similar cell images in OpenSlide file
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5508-x
Abstract: Computer-based image analysis system enables efficient retrieval of similar images from large-size pathology database. In such a system, images are expressed based on visual content characteristics, and similarities between images are obtained by comparing the… read more here.
Keywords: similar cell; system; cell images; pathology ... See more keywords
Skin cancer detection: Applying a deep learning based model driven architecture in the cloud for classifying dermal cell images
Sign Up to like & getrecommendations! Published in 2020 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2019.100282
Abstract: Abstract Background Skin cancer is a common form of cancer, and early detection increases the survival rate. Objective To build deep learning models to classify dermal cell images and detect skin cancer. Methods A model-driven… read more here.
Keywords: dermal cell; cell images; deep learning; model driven ... See more keywords
A high-throughput technique to map cell images to cell positions using a 3D imaging flow cytometer
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2118068119
Abstract: Significance This article demonstrates a high-throughput technique to map cell images to cell positions. The technology uses a three-dimensional (3D) imaging flow cytometer to record multiparameter 3D cell images at a throughput of 1,000 cells/s… read more here.
Keywords: cell; cell images; imaging flow; flow cytometer ... See more keywords
Malaria Disease Cell Classification With Highlighting Small Infected Regions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3245025
Abstract: Deep learning-based methods have become an active research area in medical imaging. Malaria is diagnosed by testing red blood cells. Deep learning methods can be used to distinguish malaria infected cell images from non-infected cell… read more here.
Keywords: cell; cell images; cell classification; classification ... See more keywords
Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Oxidative Medicine and Cellular Longevity"
DOI: 10.1155/2022/5641727
Abstract: Most multicellular organisms require apoptosis, or programmed cell death, to function properly and survive. On the other hand, morphological and biochemical characteristics of apoptosis have remained remarkably consistent throughout evolution. Apoptosis is thought to have… read more here.
Keywords: cell; cell images; segmentation; drug treated ... See more keywords
Synthesis of Microscopic Cell Images Obtained from Bone Marrow Aspirate Smears through Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2022 at "Biology"
DOI: 10.3390/biology11020276
Abstract: Simple Summary This paper proposes a hybrid generative adversarial networks model—WGAN-GP-AC—to generate synthetic microscopic cell images. We generate the synthetic data for the cell types containing fewer data to obtain a balanced dataset. A balanced… read more here.
Keywords: cell; cell images; adversarial networks; generative adversarial ... See more keywords