Stomach Deformities Recognition Using Rank-Based Deep Features Selection

Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to identify patient’s deformity during the review time. Among set of clinical technologies, wireless capsule endoscopy (WCE) is an advanced procedures used for digestive track malformation. During this complet...

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Veröffentlicht in:	Journal of medical systems Jg. 43; H. 12; S. 329
Hauptverfasser:	Khan, Muhammad Attique, Sharif, Muhammad, Akram, Tallha, Yasmin, Mussarat, Nayak, Ramesh Sunder
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2019 Springer Nature B.V
Schlagworte:	Abnormalities Artificial neural networks Capsule Endoscopy - methods Classification Colorectal cancer Computed tomography Computer simulation Endoscopy Entropy Feature extraction Feature recognition Health Informatics Health Informatics and Computer Vision Health Sciences Hemorrhage - diagnosis Hemorrhage - diagnostic imaging Humans Image & Signal Processing Image classification Image processing Image Processing, Computer-Assisted - methods Image segmentation Magnetic resonance imaging Medicine Medicine & Public Health Neural networks Neural Networks, Computer Optimization Physicians Recent Advances in Deep Learning for Biomedical Signal Processing Statistics for Life Sciences Stomach Diseases - diagnosis Stomach Diseases - diagnostic imaging Stomach Ulcer - diagnostic imaging Transfer learning WCE Deep features selection Saliency estimation Features fusion Colorectal cancer
ISSN:	0148-5598, 1573-689X, 1573-689X
Online-Zugang:	Volltext
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