2021
DOI: 10.1016/j.ebiom.2021.103684
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Decoding the molecular subtypes of breast cancer seen on multimodal ultrasound images using an assembled convolutional neural network model: A prospective and multicentre study

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Cited by 36 publications
(29 citation statements)
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References 53 publications
(78 reference statements)
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“…The 224×224, 320×320 and 448×448 pixels were adopted in this study because these three REZs are commonly used in engineering ( 18 , 22 , 37 ). They are both obtained after scaling on the original size, and the different REZs react to the same model affecting the size of the convolutional kernel field of perception ( 38 ).…”
Section: Discussionmentioning
confidence: 99%
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“…The 224×224, 320×320 and 448×448 pixels were adopted in this study because these three REZs are commonly used in engineering ( 18 , 22 , 37 ). They are both obtained after scaling on the original size, and the different REZs react to the same model affecting the size of the convolutional kernel field of perception ( 38 ).…”
Section: Discussionmentioning
confidence: 99%
“…Currently, more breast AI experiments of US with targeted and multimodal have been designed to address some problems on a smaller scale. They may become a more achievable goal in the short term, such as the prediction of lymph node metastasis, molecular subtypes and pathological types of breast cancer ( 18 22 ).…”
Section: Discussionmentioning
confidence: 99%
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“…Variation in individual gene expression does not localize to specific cell types and cellular regulatory mechanisms. Although multiple studies reveal the molecular subtypes and pathogenesis of breast cancer based on bulk RNA-seq [ 16 , 17 , 18 ], high-resolution exploration of molecular mechanisms is lacking.…”
Section: Introductionmentioning
confidence: 99%
“…The related studies also confirmed that this technology undoubtedly has a broad prospects in the field of US. For example, with a prospective and multicenter study design, we ( 6 ) developed an assembled convolutional neural network model for identifying molecular subtypes of breast cancer that could contribute to the clinical management of patients with breast disease. And the adoption of tele-US could improve the quality of breast US examinations for inexperienced US doctors ( 7 ).…”
mentioning
confidence: 99%