DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination-Reference-Cited by-同舟云学术

DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination

Published:2023 Issue: Volume:11 Page:95889-95902
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hossain Md Shakhawat¹^ORCID,Rahman Md. Mahmudur²,Syeed M. Mahbubul¹^ORCID,Uddin Mohammad Faisal¹^ORCID,Hasan Mahady¹,Hossain Md. Aulad³,Ksibi Amel⁴^ORCID,Jamjoom Mona M.⁵^ORCID,Ullah Zahid⁶^ORCID,Samad Md Abdus⁷^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Independent University, Bangladesh, Dhaka, Bangladesh

2. Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh

3. Department of Urology, Bangabandhu Sheikh Mujib Medical University Hospital, Dhaka, Bangladesh

4. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

5. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

6. Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

7. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, Gyeongsangbuk-do, South Korea

Funder

Princess Nourah bint Abdulrahman University Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10235970.pdf?arnumber=10235970

Reference49 articles.

1. DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

2. PraNet: Parallel Reverse Attention Network for Polyp Segmentation

3. MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation

4. Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation

5. Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study

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