Multiview multimodal network for breast cancer diagnosis in contrast-enhanced spectral mammography images

[11] Hiba C(2012)Dual-energy contrast-enhanced digital mammography: initial clinical results of a multireader, multicase study Breast Cancer Res 14 13-273

[12] Hamid Z(2016)Diagnostic performance of contrast-enhanced spectral mammography: systematic review and meta-analysis Breast 28 53-110

[13] Omar A(2018)SD-CNN: a shallow-deep CNN for improved breast cancer diagnosis Comput Med Imaging Graph 70 267-35

[14] Martin D(2020)Artificial intelligence in digital breast pathology: techniques and applications Breast 49 87-366

[15] Tobias DZ(2010)A review of automatic mass detection and segmentation in mammographic images Med Image Anal 14 19-23

[16] Wolfram S(2018)Digital image analysis in breast pathology from image processing techniques to artificial intelligence Transl Res 194 357-257

[17] Birgit A(2019)Artificial intelligence in breast imaging Clin Radiol 74 1-430

[18] Florian K(2020)Transfer learning privileged information fuels cad diagnosis of breast cancer Mach Vis Appl 31 249-undefined

[19] Werner J(2019)Classification of contrast-enhanced spectral mammography (CESM) images Int J Comput Assist Radiol Surg 14 409-undefined

[20] Clarisse D(2002)Breast imaging reporting and data system (BI-RADS) Radiol Clin North Am 40 891-undefined

[11] Hiba C(2012)Dual-energy contrast-enhanced digital mammography: initial clinical results of a multireader, multicase study Breast Cancer Res 14 13-273

[12] Hamid Z(2016)Diagnostic performance of contrast-enhanced spectral mammography: systematic review and meta-analysis Breast 28 53-110

[13] Omar A(2018)SD-CNN: a shallow-deep CNN for improved breast cancer diagnosis Comput Med Imaging Graph 70 267-35

[14] Martin D(2020)Artificial intelligence in digital breast pathology: techniques and applications Breast 49 87-366

[15] Tobias DZ(2010)A review of automatic mass detection and segmentation in mammographic images Med Image Anal 14 19-23

[16] Wolfram S(2018)Digital image analysis in breast pathology from image processing techniques to artificial intelligence Transl Res 194 357-257

[17] Birgit A(2019)Artificial intelligence in breast imaging Clin Radiol 74 1-430

[18] Florian K(2020)Transfer learning privileged information fuels cad diagnosis of breast cancer Mach Vis Appl 31 249-undefined

[19] Werner J(2019)Classification of contrast-enhanced spectral mammography (CESM) images Int J Comput Assist Radiol Surg 14 409-undefined

[20] Clarisse D(2002)Breast imaging reporting and data system (BI-RADS) Radiol Clin North Am 40 891-undefined