Всего найдено: 2

The RetinaNet neural network for processing ultrasound images: new prospects for early visualization of bladder cancer

For quoting:
Koroleva O.A., Salpagarova A.I., Yakubova A.M., Luk'yaev I.M., Zagajnov E.D., Izmajlova A.A., Shpot E.V., Chernenkiy M.M., Chernenkiy I.M., Amosov A.V., Fiev D.N., Proskura A.V., Lobanov M.V., Sirota E.S., Ismailov Kh.M., Shurygina R.K., Zholdubaev A.A., Vovlenko S.V., Allenov S.N., Glybochko P.V., Lumpov I.S. "The RetinaNet neural network for processing ultrasound images: new prospects for early visualization of bladder cancer ". Journal Diagnostic & interventional radiology. 2025; 19(2); 73-81.

authors:

Koroleva O.A.

Salpagarova A.I.

Yakubova A.M.

Luk'yaev I.M.

Zagajnov E.D.

Izmajlova A.A.

Shpot E.V.

Chernenkiy M.M.

Chernenkiy I.M.

Amosov A.V.

Fiev D.N.

Proskura A.V.

Lobanov M.V.

Sirota E.S.

Ismailov Kh.M.

Shurygina R.K.

Zholdubaev A.A.

Vovlenko S.V.

Allenov S.N.

Glybochko P.V.

Lumpov I.S.

keywords:

bladder cancer

diagnostics

ultrasound

artificial intelligence

neural network

Prediction of the morphology of renal parenchyma neoplasms using the automated web platform « Sechenov.AI_nephro» - the first experience

For quoting:
Konyshev A.V., Glybochko P.V., Alyaev Yu.G., Shpot E.V., Sirota E.S., Proskura A.V., Fiev D.N., Chernenkiy M.M., Chernenkiy I.M., Lobanov M.V., Ismailov Kh.M., Izmaylova А.А., Sarkisiayn I.P., Gurkina A.D., Kuznetsov I.A., Bochkarev P.V. "Prediction of the morphology of renal parenchyma neoplasms using the automated web platform « Sechenov.AI_nephro» - the first experience ". Journal Diagnostic & interventional radiology. 2025; 19(2); 30-37.

authors:

Konyshev A.V.

Glybochko P.V.

Alyaev Yu.G.

Shpot E.V.

Sirota E.S.

Proskura A.V.

Fiev D.N.

Chernenkiy M.M.

Chernenkiy I.M.

Lobanov M.V.

Ismailov Kh.M.

Izmaylova А.А.

Sarkisiayn I.P.

Gurkina A.D.

Kuznetsov I.A.

Bochkarev P.V.

keywords:

renal cell carcinoma

3D technologies

neural network technologies

artificial intelligence

radiomics

digital biopsy

machine learning