Impact of biomaterials in lung tumor classification and segmentation using Machine learning healthcare
| Autor: | Udayakumar Easwaran, Yogeshwaran Kandasamy, Ramesh Chellappan, Omprakash Perumal |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
business.industry Computer science Pattern recognition 02 engineering and technology respiratory system 021001 nanoscience & nanotechnology 01 natural sciences respiratory tract diseases Support vector machine Component (UML) 0103 physical sciences Segmentation Lung tumor Artificial intelligence Entire lung 0210 nano-technology business |
| Zdroj: | Materials Today: Proceedings. 43:3100-3104 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2021.01.586 |
| Popis: | Lung diseases are the clutters that influence the lungs, the organs that enable us to inhale and it is the greatest widely recognized ailments worldwide particularly in India. The infections, for example, pleural emission and typical lung are recognized and grouped in this effort. This paper shows a PC bolstered request Method in Computer Tomography (CT) Images of lungs made using SVM. The explanation behind the effort is to recognize and assemble the lung diseases by reasonable component extraction through Watershed Transform and GLCM Features. The entire lung is partitioned from the CT Images and the constraints are resolved from the separated picture using biomaterials. The constraints are resolved using GLCM. The Proposed the SVM Network intended for arrangement of ILD designs. The constraints give the greatest arrangement Exactness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect