Brain tumor classification in VIT-B/16 based on relative position encoding and residual MLP

Brain tumors pose a significant threat to health, and their early detection and classification are crucial. Currently, the diagnosis heavily relies on pathologists conducting time-consuming morphological examinations of brain images, leading to subjective outcomes and potential misdiagnoses. In resp...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one Jg. 19; H. 7; S. e0298102
Hauptverfasser:	Hong, Shuang, Wu, Jin, Zhu, Lei, Chen, Weijie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 02.07.2024
Schlagworte:	Accuracy Algorithms Artificial intelligence Biology and Life Sciences Blended learning Brain Brain cancer Brain Neoplasms - classification Brain Neoplasms - diagnostic imaging Brain Neoplasms - pathology Brain research Brain tumors Classification Coding Computer and Information Sciences Convergence COVID-19 Datasets Deep learning Effectiveness Efficiency Health aspects Health risks Humans Image enhancement Image processing Magnetic resonance imaging Malaria Medical imaging Medical imaging equipment Medical research Medicine and Health Sciences Methods Multilayer perceptrons Multilayers Neural networks Neural Networks, Computer Research and Analysis Methods Social Sciences Tumors
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!