Polyp-Net: A Multimodel Fusion Network for Polyp Segmentation

Computer-aided diagnosis of disease primarily depends on proper vision-based measurement (VBM). The traditional approach followed for diagnosis of colorectal cancer includes a manual screening of colorectum via a colonoscope and resection of polyps for histopathological analysis to decide the grade...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2021, Vol.70, p.1-12
Hauptverfasser:	Banik, Debapriya, Roy, Kaushiki, Bhattacharjee, Debotosh, Nasipuri, Mita, Krejcar, Ondrej
Format:	Artikel
Sprache:	eng
Schlagworte:	2-D dual-tree complex wavelet transform (2-D DT-CWT) Artificial neural networks Cancer Colon colonoscopy convolutional neural network (CNN) Diagnosis Feature extraction fusion Image analysis Image color analysis Image segmentation In vivo methods and tests level-set method (LSM) Medical imaging Metric space polyp Polyps segmentation Shape Testing Training Vision
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