Segmentation and Classification of Stomach Abnormalities Using Deep Learning

An automated system is proposed for the detection and classification of GI abnormalities. The proposed method operates under two pipeline procedures: (a) segmentation of the bleeding infection region and (b) classification of GI abnormalities by deep learning. The first bleeding region is segmented...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2021, Vol.69 (1), p.607-625
Hauptverfasser:	Naz, Javeria, Attique Khan, Muhammad, Alhaisoni, Majed, Song, Oh-Young, Tariq, Usman, Kadry, Seifedine
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Bleeding Classification Datasets Deep learning Feature extraction Image segmentation Machine learning Texture
Online-Zugang:	Volltext
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