A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm
Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy organs located in the chest. These cells may penetrate outside the lungs in a process called metastasis and spread to tissues and organs in the body. In this paper, using image processing, deep learning, and m...
Main Authors: | Xinrong Lu, Y. A. Nanehkaran, Maryam Karimi Fard |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2021/3694723 |
Similar Items
-
Early Lung Cancer Detection using Deep Learning Optimization
by: Ahmed Elnakib, et al.
Published: (2020-05-01) -
Remote Sensing–Based Urban Green Space Detection Using Marine Predators Algorithm Optimized Machine Learning Approach
by: Nhat-Duc Hoang, et al.
Published: (2021-01-01) -
Marine predators algorithm for solving single-objective optimal power flow.
by: Mohammad Zohrul Islam, et al.
Published: (2021-01-01) -
An Optimized Method for Skin Cancer Diagnosis Using Modified Thermal Exchange Optimization Algorithm
by: Liu Wei, et al.
Published: (2021-01-01) -
A Novel Dynamic Clustering Method by Integrating Marine Predators Algorithm and Particle Swarm Optimization Algorithm
by: N. Wang, et al.
Published: (2021-01-01)