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Evaluating the performance of artificial intelligence based software for digital mammography characterization
Vasilev Y.A., Kolsanov A.V., Arzamasov K.M., Vladzymyrskyy A.V., Omelyanskaya O.V., Semenov S.S., Axenova L.E.
Radiomics and artificial intelligence for predicting response to neoadjuvant drug therapy in patients with breast cancer: a review
Suleymanova M.M., Karmazanovsky G.G., Kondratyev E.V., Popov A.Y., Nechaev V.A., Ermoshchenkova M.V., Kuzmina E.S.
Navigating secondary breast angiosarcoma: a case report
Balbino M., Montatore M., Masino F., Carpagnano F.A., Guglielmi G.
Objective criteria for MRI evaluation of the effectiveness of treatment of bone metastases in patients with prostate cancer and breast cancer: systematic review and meta-analysis
Ripp V.O., Berezovskaya T.P., Ivanov S.A.
Machine learning techniques for breast cancer diagnosis
Dyomin K.S., Germashev I.V.
The role of mammography in breast cancer radiomics
Govorukhina V.G., Semenov S.S., Gelezhe P.B., Didenko V.V., Morozov S.P., Andreychenko A.E.
Classification of the presence of malignant lesions on mammogram using deep learning
Ibragimov A.A., Senotrusova S.A., Litvinov A.A., Beliaeva A.A., Ushakov E.N., Markin Y.V.
Anthropomorphic breast phantoms for radiology imaging: a review
Vasilev Y.A., Omelyanskaya O.V., Nasibullina A.A., Leonov D.V., Bulgakova J.V., Akhmedzyanova D.A., Shumskaya Y.F., Reshetnikov R.V.
Diseases and abnormalities of the nipple-areolar complex: a case report series
Karanadze E.N., Sinitsyn V.E., Karanadze M.A.
Possibilities and limitations of using machine text-processing tools in Russian radiology reports
Kokina D.Y., Gombolevskiy V.A., Arzamasov K.M., Andreychenko A.E., Morozov S.P.
Comparative study of the digital mammography data analysis system based on artificial intelligence “Celsus” and radiologists
Pavlovich P.I., Bronov O.Y., Kapninsky A.A., Abovich Y.A., Rychagova N.I.
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