Share Your Research, Maximize Your Social Impacts
SEGMENTATION OF HEMORRHAGE AREAS ON BRAIN CT IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
Journal: International Scientific Journal "Internauka" (Vol.1, No. 108)Publication Date: 2021-06-30
Authors : Yurochkin Vladyslav;
Page : 60-65
Keywords : deep learning; neural network; CNN; UNet; segmentation; computed tomography; hemorrhages;
Source : Download
Find it from : Google Scholar
Abstract
The paper considers the construction of a system for visualization of hemorrhage segmentation on brain CT images by creating and training a convolutional neural network to optimize the procedure for finding pathology in CT diagnostics.
Other Latest Articles
- TRIAL ANALYSIS OF DIAGNOSTIC METHODS OF PARKINSON'S DISEASE AT EARLY STAGES AND IMPROVEMENT OF THE ALGORITHM FOR PROCESSING THE DIGITAL IMAGE OF THE ARCHIMEDES SPIRAL
- COMPLEX METHODOLOGY FOR CALCULATING THE OPTIMAL PARAMETERS OF THE HEAT RECOVERY SYSTEM OF A BOILER PLANT
- Kampanye Hemat Listrik Terhadap Efisiensi Energi Pada Ibu Rumah Tangga Yang Bekerja
- FORMATION OF THE RANGE OF SUGAR CONFECTIONERY IN RESTAURANTS IN RESTAURANTS
- COMPUTER MODELING OF A PROTOTYPE OF A COMPLEX TECHNICAL SYSTEM BY ECONOMIC CRITERIA
Last modified: 2021-10-13 22:10:50