The Application of Convolutional Neural Network Combined with Fuzzy Algorithm in Colorectal Endoscopy for Tumor Assessment

The Application of Convolutional Neural Network Combined with Fuzzy Algorithm in Colorectal Endoscopy for Tumor Assessment

According to the Global Cancer Statistics 2020 published in the official journal of the American Cancer Society (ACS), colorectal cancer ranked 4th in incidence and 2nd in mortality, and the 2018 Cancer Registry Report of Taiwan Health Promotion Administration showed that colorectal cancer ranked 2n...

Full description

Saved in:

Bibliographic Details
Main Authors:	Te-Jen Su, Feng-Chun Lee, Cheuk-Kwan Sun, Fu-Xiang Ke, Shih-Ming Wang, Ming-Chih Huang
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Discrete Dynamics in Nature and Society
Online Access:	http://dx.doi.org/10.1155/2022/9089528
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Visualization of Laterally Spreading Colorectal Tumors by Using Image-Enhanced Endoscopy
by: Naoto Tamai, et al.
Published: (2012-01-01)

Automatic Detection of Small Intestinal Hookworms in Capsule Endoscopy Images Based on a Convolutional Neural Network
by: Tao Gan, et al.
Published: (2021-01-01)

Using Convolutional Neural Networks for segmentation of brain tumors
by: Kauã Gabriel Silva de Lima, et al.
Published: (2024-12-01)

Atrial Fibrillation Detection by the Combination of Recurrence Complex Network and Convolution Neural Network
by: Xiaoling Wei, et al.
Published: (2019-01-01)

Application of Autofluorescence Endoscopy for Colorectal Cancer Screening: Rationale and an Update
by: Hiroyuki Aihara, et al.
Published: (2012-01-01)

Speech Separation Using Convolutional Neural Network and Attention Mechanism
by: Chun-Miao Yuan, et al.
Published: (2020-01-01)

Attention-Based Convolutional Neural Network for Pavement Crack Detection
by: Haifeng Wan, et al.
Published: (2021-01-01)

Convolutional Neural Decoder for Surface Codes
by: Hyunwoo Jung, et al.
Published: (2024-01-01)

Neural Radiance Fields for High-Fidelity Soft Tissue Reconstruction in Endoscopy
by: Jinhua Liu, et al.
Published: (2025-01-01)

Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network
by: Qinghua Su, et al.
Published: (2020-01-01)

Convolutional neural networks for diabetic retinopathy detection
by: Darwin Patiño-Pérez, et al.
Published: (2025-01-01)

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety
by: Haohan Ding, et al.
Published: (2025-01-01)

A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks
by: Vikram S. Ingole, et al.
Published: (2024-12-01)

AReLU: Agile Rectified Linear Unit for Improving Lightweight Convolutional Neural Networks
by: Fu Chen, et al.
Published: (2025-01-01)

Beneficial Effects of Combining Computed Tomography Enteroclysis/Enterography with Capsule Endoscopy for Screening Tumor Lesions in the Small Intestine
by: Hiroaki Shibata, et al.
Published: (2015-01-01)

Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie
by: Kaiwei Liang, et al.
Published: (2018-01-01)

Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network
by: Li Ma, et al.
Published: (2021-01-01)

Classification of Invoice Images By Using Convolutional Neural Networks
by: Sait Ali Uymaz, et al.
Published: (2022-03-01)

Lung cancer classification with Convolutional Neural Network Architectures
by: Shivan H. M. Mohammed, et al.
Published: (2021-02-01)

Automatic Image Colorization Based on Convolutional Neural Networks
by: L. V. Serebryanaya, et al.
Published: (2020-07-01)

Tailoring convolutional neural networks for custom botanical data
by: Jamie R. Sykes, et al.
Published: (2025-01-01)

Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
by: Hesham M. Eraqi, et al.
Published: (2019-01-01)

Gearbox Fault Identification and Classification with Convolutional Neural Networks
by: ZhiQiang Chen, et al.
Published: (2015-01-01)

Convolutional Neural Network-Based Fish Posture Classification
by: Xin Li, et al.
Published: (2021-01-01)

Complexity of Deep Convolutional Neural Networks in Mobile Computing
by: Saad Naeem, et al.
Published: (2020-01-01)

Endoscopy by Nonphysicians
by: Elaine R Gossman
Published: (2007-01-01)

Capsule Endoscopy
by: Mark E. McAlindon, et al.
Published: (2012-01-01)

Combining Convolutional Neural Network (CNN) and Grad-CAM for Parkinson’s Disease Prediction and Visual Explanation
by: Reyhaneh Dehghan, et al.
Published: (2024-09-01)

Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network
by: Quantong ZHANG, et al.
Published: (2025-02-01)

Impact of introducing transnasal endoscopy on expanding diagnostic endoscopy services
by: Nigel Trudgill, et al.
Published: (2025-01-01)

Evaluation of Performance in Colon Capsule Endoscopy Reading by Endoscopy Nurses
by: Yukiko Handa, et al.
Published: (2021-01-01)

Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis
by: Chao Fu, et al.
Published: (2020-01-01)

Application of Computer-Based Simulation Teaching Combined with PBL in Colorectal Tumor Hemorrhage
by: Yanling Zhang, et al.
Published: (2022-01-01)

Predicting species distributions in the open ocean with convolutional neural networks
by: Morand, Gaétan, et al.
Published: (2024-09-01)

AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK
by: LAWRENCE OMOTOSHO, et al.
Published: (2021-10-01)

Heterogeneous graph convolutional neural network for protein-ligand scoring
by: Kevin Crampon, et al.
Published: (2023-04-01)

Classification of Melanoma Cancer Using Deep Convolutional Neural Networks
by: Emrah Dönmez, et al.
Published: (2024-12-01)

Application of convolutional neural networks in the intelligence security system subsystem
by: V. S. Demeshko, et al.
Published: (2020-08-01)

A Hardware Accelerator for the Inference of a Convolutional Neural network
by: Edwin González, et al.
Published: (2019-11-01)

Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network
by: Zhuang Zhao, et al.
Published: (2022-01-01)