Classification and Segmentation of Pulmonary Lesions in CT Images Using a Combined VGG-XGBoost Method, and an Integrated Fuzzy Clustering-Level Set Technique

Given that lung cancer is one of the deadliest illnesses, early identification and diagnosis are critical to preserving a patient's life. However, lung illness diagnosis is time-intensive and requires the expertise of a pulmonary disease specialist, subject to a significant rate of inaccuracy....

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Veröffentlicht in:	arXiv.org 2022-04
Hauptverfasser:	Niloofar Akhavan Javan, Jebreili, Ali, Mozafari, Babak, Hosseinioun, Morteza, S AmirAli Gh Ghahramani
Format:	Artikel
Sprache:	eng
Schlagworte:	Cancer Clustering Computed tomography Datasets Diagnosis Disease Feature extraction Fuzzy sets Human resources Image classification Image segmentation Lesions Medical imaging Physicians Pulmonary lesions
Online-Zugang:	Volltext
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