Colon tumor localization using three input variants to Faster Region‐based Convolutional Neural Network and lazy snapping-Reference-Cited by-同舟云学术

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Colon tumor localization using three input variants to Faster Region‐based Convolutional Neural Network and lazy snapping

Published:2021-04-27 Issue:4 Volume:31 Page:2123-2135
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Srivastava Gargi¹^ORCID,Srivastava Rajeev¹

Affiliation:

1. Department of Computer Science & Engineering Indian Institute of Technology (B.H.U) Varanasi Varanasi India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22581

Reference41 articles.

1. AUTOMATED ULCER AND BLEEDING CLASSIFICATION FROM WCE IMAGES USING MULTIPLE FEATURES FUSION AND SELECTION

2. Gastrointestinal diseases segmentation and classification based on duo-deep architectures

3. Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images

4. Part-Based Multiderivative Edge Cross-Sectional Profiles for Polyp Detection in Colonoscopy

5. Artificial intelligence‐assisted polyp detection for colonoscopy: initial experience;Yamauchi A;Gastroenterology,2018

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