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Deep learning based semantic segmentation and quantification for MRD biochip images
(ELSEVIER SCI LTD, 2022)
Microfluidic platforms offer prominent advantages for the early detection of cancer and monitoring the patient
response to therapy. Numerous microfluidic platforms have been developed for capturing and quantifying the
tumor ...
Deep Learning Based Formation Control of Drones
(Springer Science and Business Media Deutschland GmbH, 2021)
Robot swarms can accomplish demanding missions fast, efficiently, and accurately. For a robust operation, robot swarms need to be equipped with reliable localization algorithms. Usually, the global positioning system (GPS) ...
Super resolution convolutional neural network based pre-processing for automatic polyp detection in colonoscopy images
(PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2021)
Abstract
Colonoscopy is the most common methodology used to detect polyps on the colon surface. Increasing the image resolution has the potential to improve the automatic colonoscopy based diagnosis and polyp detection ...
ROSE: A Novel Approach for Protein Secondary Structure Prediction
(Springer Science and Business Media Deutschland GmbH, 2021)
Three-dimensional structure of protein gives important information about protein’s function. Since it is time-consuming and costly to find the structure of protein by experimental methods, estimation of three-dimensional ...