Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images. Gao, M., Fessler, J. A., & Chan, H. 2021. doi bibtex @CONFERENCE{gao:21:dbt,
author = {M. Gao and J. A. Fessler and H-P. Chan},
title = {Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images},
booktitle = {{Proc. SPIE 11595 Medical Imaging: Phys. Med. Im.}},
pages = {{115951K}},
doi = {10.1117/12.2580900},
year = 2021
}
Downloads: 0
{"_id":"7HW4P5pLR7baz8mF8","bibbaseid":"gao-fessler-chan-digitalbreasttomosynthesisdenoisingusingdeepconvolutionalneuralnetworkeffectsofdoseleveloftrainingtargetimages-2021","authorIDs":["m6cqYT8MXtMjsNMcA"],"author_short":["Gao, M.","Fessler, J. A.","Chan, H."],"bibdata":{"bibtype":"conference","type":"conference","author":[{"firstnames":["M."],"propositions":[],"lastnames":["Gao"],"suffixes":[]},{"firstnames":["J.","A."],"propositions":[],"lastnames":["Fessler"],"suffixes":[]},{"firstnames":["H-P."],"propositions":[],"lastnames":["Chan"],"suffixes":[]}],"title":"Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images","booktitle":"Proc. SPIE 11595 Medical Imaging: Phys. Med. Im.","pages":"115951K","doi":"10.1117/12.2580900","year":"2021","bibtex":"@CONFERENCE{gao:21:dbt,\n author = {M. Gao and J. A. Fessler and H-P. Chan},\n title = {Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images},\n booktitle = {{Proc. SPIE 11595 Medical Imaging: Phys. Med. Im.}},\n pages = {{115951K}},\n doi = {10.1117/12.2580900},\n year = 2021\n}\n\n","author_short":["Gao, M.","Fessler, J. A.","Chan, H."],"key":"gao:21:dbt","id":"gao:21:dbt","bibbaseid":"gao-fessler-chan-digitalbreasttomosynthesisdenoisingusingdeepconvolutionalneuralnetworkeffectsofdoseleveloftrainingtargetimages-2021","role":"author","urls":{},"metadata":{"authorlinks":{"fessler, j":"https://web.eecs.umich.edu/~fessler/papers/bibbase.php"}},"downloads":0,"html":""},"bibtype":"conference","biburl":"http://web.eecs.umich.edu/~fessler/papers/lists/t,proc.bib","creationDate":"2020-09-14T04:38:18.933Z","downloads":0,"keywords":[],"search_terms":["digital","breast","tomosynthesis","denoising","using","deep","convolutional","neural","network","effects","dose","level","training","target","images","gao","fessler","chan"],"title":"Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images","year":2021,"dataSources":["eu6JpRff7soX3HxFT"]}