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Zenodo · December 8, 2023

Figs 43–64 in ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes

Author image of Ayokunle Olalekan Ige Ayokunle Olalekan Ige, Nikhil Kumar Tomar, Felix Ola Aranuwa, Oluwafemi Oriola, Alaba O. Akingbesote, Mohd Halim Mohd Noor

Manuel Mazzara
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Abstract

Figs 43–64. Aphthonoides, aedeagi and spermathecae (after Döberl [2005]). 43–44, 58 – A. beccarii; 45–46, 59 – A. bergeali; 47–49, 60 – A. burckhardti; 50–51, 61 – A. fulmeki; 52–53, 62 – A. laticollis; 54–55, 63 – A. sumatranus; 56–57, 64 – A. warchalowskii. 43–57 – aedeagi; 58–64 – spermathecae. 43, 45, 47, 48, 50, 52, 54, 56 – ventral view; 44, 46, 49, 51, 53, 55, 57 – lateral view. Рис. 43–64. Aphthonoides, эΔеагусы и сперматеки (по [Döberl, 2005]). 43–44, 58 – A. beccarii; 45–46, 59 – A. bergeali; 47–49, 60 – A. burckhardti; 50–51, 61 – A. fulmeki; 52–53, 62 – A. laticollis; 54–55, 63 – A. sumatranus; 56–57, 64 – A. warchalowskii. 43–57 – эΔеагусы; 58–64 – сперматеки. 43, 45, 47, 48, 50, 52, 54, 56 – виΔ снизу; 44, 46, 49, 51, 53, 55, 57 – виΔ сбоку.

Colorectal Cancer Screening and DetectionAdvanced Neural Network ApplicationsMedical Image Segmentation Techniques

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