Browse
Browse and Search
Search
Explore more content
12880_2021_662_MOESM1_ESM.
docx
(18.23 kB)
File info
This item contains files with download restrictions
Fullscreen
Additional file 1 of Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network
Cite
Download
(18.23 kB)
Share
Embed
journal contribution
posted on 2021-09-05, 03:13
authored by
Yemei Liu
,
Pei Yang
,
Yong Pi
,
Lisha Jiang
,
Xiao Zhong
,
Junjun Cheng
,
Yongzhao Xiang
,
Jianan Wei
,
Lin Li
,
Zhang Yi
,
Huawei Cai
,
Zhen Zhao
Additional file 1. The lesion-based diagnostic performance of the AI model according to the different number of lesions per image (few, medium and extensive lesions group) in lung cancer, prostate cancer and breast cancer.
History
Usage metrics
Categories
Space Science
Medicine
Cell Biology
Sociology
Biological Sciences not elsewhere classified
Cancer
Keywords
Bone scintigraphy
Bone metastasis
Artificial intelligence
Convolutional neural network
Licence
CC BY + CC0
Exports
Select an option
RefWorks
RefWorks
BibTeX
BibTeX
Ref. manager
Ref. manager
Endnote
Endnote
DataCite
DataCite
NLM
NLM
DC
DC