Lung cancer segmentation from CT scan images using modified mayfly optimization and particle swarm optimization algorithm

The development of a computer-aided detection system is a critical component of clinical decision-making As the death rate grows, cancer has become a major concern for both men and women. The radiologists need to accurately pinpoint the region of the lung tumor to offer proper radiation therapy for...

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Vydáno v:	Multimedia tools and applications Ročník 83; číslo 2; s. 3567 - 3584
Hlavní autoři:	Poonkodi, S., Kanchana, M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.01.2024 Springer Nature B.V
Témata:	Algorithms Artificial neural networks Computed tomography Computer Communication Networks Computer Science Critical components Data Structures and Information Theory Image contrast Image enhancement Image quality Image segmentation Lung cancer Lung diseases Medical imaging Model accuracy Multimedia Information Systems Optimization Particle swarm optimization Radiation therapy Special Purpose and Application-Based Systems Tumors Automatic segmentation Ensemble Deep Convolutional Neural Network Lung computed tomography Lung cancer Modified mayfly optimization
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
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