Application of the convolution neural network in determining the depth of invasion of gastrointestinal cancer: a systematic review and meta-analysis

Wu, Ruo; Qin, Kaiwen; Fang, Yuxin; Xu, Yuyuan; Zhang, Haonan; Li, Wenhua; Luo, Xiaobei; Han, Zelong; Liu, Side; Li, Qingyuan

doi:10.1016/j.gassur.2023.12.029

Journal of Gastrointestinal Surgery

2024

DOI: 10.1016/j.gassur.2023.12.029

|View full text |Cite

Application of the convolution neural network in determining the depth of invasion of gastrointestinal cancer: a systematic review and meta-analysis

Ruo Wu,

Kaiwen Qin,

Yuxin Fang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 5 publications

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system

Jiang,

Yu,

Ren

et al. 2024

Med Biol Eng Comput

View full text Add to dashboard Cite

A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system

Jiang,

Yu,

Ren

et al. 2024

Med Biol Eng Comput

View full text Add to dashboard Cite

Letter to the editor regarding “Application of the convolution neural network in determining the depth of invasion of gastrointestinal cancer: a systematic review and meta-analysis”

Ray

2024

Journal of Gastrointestinal Surgery

View full text Add to dashboard Cite

Spatiotemporal prediction of solidified dendrites based on convolutional long-short-term neural network

Mao,

Xie,

Pan

et al. 2024

Materials Today Communications

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Application of the convolution neural network in determining the depth of invasion of gastrointestinal cancer: a systematic review and meta-analysis

Cited by 5 publications

References 64 publications

A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system

A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system

Letter to the editor regarding “Application of the convolution neural network in determining the depth of invasion of gastrointestinal cancer: a systematic review and meta-analysis”

Spatiotemporal prediction of solidified dendrites based on convolutional long-short-term neural network

Contact Info

Product

Resources

About