Attention Based Multi-Patched 3D-CNNs with Hybrid Fusion Architecture for Reducing False Positives during Lung Nodule Detection

Journals Menu

Follow SCIRP

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

"Attention Based Multi-Patched 3D-CNNs with Hybrid Fusion Architecture for Reducing False Positives during Lung Nodule Detection"
written by Vamsi Krishna Vipparla, Premith Kumar Chilukuri, Giri Babu Kande,
published by Journal of Computer and Communications, Vol.9 No.4, 2021

has been cited by the following article(s):

[1]	Towards machine learning-aided lung cancer clinical routines: Approaches and open challenges
	Journal of Personalized …, 2022

[2]	Deep Learning Techniques to Diagnose Lung Cancer
	Cancers, 2022

[3]	ENHANCED HIDDEN MARKOV MODELS (HMMs) FOR REAL-TIME FRAUD DETECTION IN ELECTRONIC BANKING
	2022

[4]	Deep Learning Techniques to Diagnose Lung Cancer. Cancers 2022, 14, 5569
	2022

[5]	Lung Nodule Segmentation for Explainable AI-Based Cancer Screening
	2021

Follow SCIRP

Free SCIRP Newsletters

Add your e-mail address to receive free newsletters from SCIRP.

Top