Classification of wireless capsule endoscopy images for bleeding using deep features fusion-Reference-Cited by-同舟云学术

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Classification of wireless capsule endoscopy images for bleeding using deep features fusion

Published:2022-11-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Rani Kumi¹,Devi Gayatri¹,Kumar Sunil¹,Figueiredo Isabel N.²,Figueiredo Pedro N.³

Affiliation:

1. Indian Institute of Technology (BHU) Varanasi,Department of Mathematical Sciences,Varanasi,Uttar Pradesh,India,221005

2. University of Coimbra,Faculty of Sciences and Technology,Department of Mathematics (CMUC),Portugal

3. University of Coimbra,Faculty of Medicine,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987724/9987729/09987916.pdf?arnumber=9987916

Reference36 articles.

1. Convolutional neural networks for intestinal hemorrhage detection in wireless capsule endoscopy images

2. Effective Deep Learning for Semantic Segmentation Based Bleeding Zone Detection in Capsule Endoscopy Images

3. A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images

4. Computer-assisted bleeding detection in wireless capsule endoscopy images

5. Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network

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1. DySARNet: a lightweight self-attention deep learning model for diagnosing dysarthria from speech recordings;Multimedia Tools and Applications;2024-08-31

2. Research on Automatic Bleeding Detection in Arthroscopic Videos Based on Composite Color and Statistical Features;IEEE Access;2024

3. Early Detection of Colorectal Cancer from Polyps Images Using Deep Learning;Lecture Notes in Networks and Systems;2024

4. Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review;Sensors;2023-08-14

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