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Role of artificial intelligence and novel visualization techniques in the early diagnosis of pancreatic cancer: a review
Musaeva F.T., Sumenova E.R., Islamgulov A.K., Kumykova Z.M., Elipkhanova T.S., Ushaeva A.I., Khasieva A.S., Ozerova E.S., Khusnutdinova D.A., Nabiullina A.A., Kulinskaya Y.Y., Yakupova R.R., Mustafin A.A.
Assessing the probability of metastatic mediastinal lymph node involvement in patients with non small cell lung cancer using convolutional neural networks on chest computed tomography
Shevtsov A.E., Tominin I.D., Tominin V.D., Malevanniy V.M., Esakov Y.S., Tukvadze Z.G., Nefedov A.O., Yablonskii P.K., Gavrilov P.V., Kozlov V.V., Blokhina M.E., Nalivkina E.A., Gombolevskiy V.A., Vasilev Y.A., Dugova M.N., Chernina V.Y., Omelyanskaya O.V., Reshetnikov R.V., Blokhin I.A., Belyaev M.G.
Assessment of ovarian follicular reserve according to ultrasound data based on machine learning methods
Laputin F.A., Sidorov I.V., Moshkin A.S.
Modern capabilities of artificial intelligence technologies in cardiovascular imaging
Islamgulov A.K., Bogdanova A.S., Sufiiarov D.I., Chernyavskaya A.V., Bairakaeva E.R., Maksimova A.A., Nemychnikov N.V., Bikieva D.R., Shakhmaeva A.I., Burdina L.A., Bolekhan A.V., Akimov E.I., Shurakova Z.Z.
Prospects of machine learning applications in affective disorders
Mosolova E.S., Alfimov A.E., Kostyukova E.G., Mosolov S.N.
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.
Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space
Vasilev Y.A., Vladzymyrskyy A.V., Arzamasov K.M., Shikhmuradov D.U., Pankratov A.V., Ulyanov I.V., Nechaev N.B.
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