Іздеу

Шығарылым
Атауы
Авторлар
Potential use of radiation methods for diagnosing bone metastases of castration-resistant prostate cancer: a literature review
Karpova A., Sergeev N., Borisova O., Nikitin P., Fomin D., Solodkiy V.
Challenges and benefits of using texture analysis of computed tomography and magnetic resonance imaging scans in diagnosis of bladder cancer
Kovalenko A., Sinitsyn V., Petrovichev V.
Radiomics and artificial intelligence for predicting response to neoadjuvant drug therapy in patients with breast cancer: a review
Suleymanova M., Karmazanovsky G., Kondratyev E., Popov A., Nechaev V., Ermoshchenkova M., Kuzmina E.
Use of radiomics and dosiomics to identify predictors of radiation induced lung injury
Nudnov N., Sotnikov V., Ivannikov M., Shakhvalieva E., Borisov A., Ledenev V., Smyslov A., Ananina A.
Potential use of radiomics analysis of cine-mode cardiac MRI to detect post-infarction lesions in the left ventricular myocardium
Maksimova A., Samatov D., Merzlikin B., Shelkovnikova T., Listratov A., Zavadovsky K.
Prospects for the application of radiomics to brain tumors
Regentova O., Parkhomenko R., Sergeyev N., Bozhenko V., Polushkin P., Solodkiy V.
Radiomics in the differential diagnosis of gastrointestinal stromal tumors and leiomyomas. A literature review
Martirosyan E., Karmazanovsky G., Kondratyev E., Sokolova E.
Prediction of the efficacy of neoadjuvant chemoradiotherapy in patients with rectal cancer based on a texture analysis of T2-weighted magnetic resonance tumor image obtained at primary staging
Dayneko Y., Berezovskaya T., Mirzeabasov O., Starkov S., Myalina S., Nevolskikh A., Ivanov S., Kaprin A.
Artificial intelligence in ultrasound of thyroid nodules, prognosis of I-131 uptake
Manaev A., Trukhin A., Zakharova S., Sheremeta M., Troshina E.
Priority radiomic parameters for computed tomography of head and neck malignancies: A systematic review
Vasilev Y., Nanova O., Blokhin I., Reshetnikov R., Vladzymyrskyy A., Omelyanskaya O.
Magnetic resonance imaging for the differential diagnosis of primary extra-axial brain tumors: a review of radiomic studies
Kapishnikov A., Surovcev E.
Category PI-RADS 3: the role of texture analysis in prostate cancer risk stratification (a systematic review)
Tyan A., Kаrmаzаnovsky G., Karelskaya N., Kondratyev E., Gritskevich A., Kalinin D., Kovalev A., Baeva A.
Dosiomics in the analysis of medical images and prospects for its use in clinical practice
Solodkiy V., Nudnov N., Ivannikov M., Shakhvalieva E., Sotnikov V., Smyslov A.
Application of radiomics in osteoporosis detection — current capabilities and future prospects (a review)
Chugaev A., Vasilev Y., Petraikin A., Blokhin I., Vladzymyrskyy A., Omelyanskaya O.
Magnetic resonance imaging radiomics in prostate cancer radiology: what is currently known?
Gelezhe P., Blokhin I., Semenov S., Caruso D.
The role of radiomics in diagnosing gastrointestinal stromal tumors: a review
Martirosyan E., Karmazanovsky G., Kondratyev E., Sokolova E., Nechaev V., Kuzmina E., Galkin V., Glotov A.
Radiomics for diagnosing clinically significant prostate cancer PI-RADS 3: what is already known and what to do next?
Tyan A., Karmazanovskij G., Karelskaya N., Kondratyev E., Kovalev A.
The role of mammography in breast cancer radiomics
Govorukhina V., Semenov S., Gelezhe P., Didenko V., Morozov S., Andreychenko A.
Radiomics in application to diseases of the musculoskeletal system: a review
Pleshkov M., Zamyshevskaya M., Kuchinskii E., Jin X., Zhang J., Zavadovskaya V., Zorkaltsev M., Kim T., Pogonchenkova D., Udodov V., Tolmachev I.
Development of a prognostic model for diagnosis of prostate cancer based on radiomics of biparametric magnetic resonance imaging apparent diffusion coefficient maps and stacking of machine learning algorithms
Kuznetsov A.
The role of the quality control system for diagnostics of oncological diseases in radiomics
Khoruzhaya A., Ahkmad E., Semenov D.
Нәтижелер 21 - 1/21
Сыбырсөздер:
  • Негізгі сөздер тіркелімге сезімтал< / li>
  • Ағылшын предлогтары мен одақтары еленбейді
  • Әдепкі бойынша іздеу барлық негізгі сөздер үшін жасалады (агенс AND экспериенцер)
  • Белгілі бір терминді табу үшін OR қолданыңыз. білім беру OR оқыту
  • мысалы, күрделі сөз тіркестерін жасау үшін жақшаларды қолданыңыз. мұрағат ((журналдар OR конференциялар) NOT диссертациялар)
  • Нақты фразаны табу үшін, мысалы, тырнақшаларды қолданыңыз. "ғылыми зерттеулер"
  • сөзді - (сызықша) немесе not операторының көмегімен алып тастаңыз; мысалы. сұлулық байқауы< / em > немесе сұлулық байқауы< / em > < / li>
  • мысалы, нұсқа ретінде * қолданыңыз. ғылым* "ғылыми","ғылыми"және т. б. сөздерді қамтиды< / li> < / < / к-сі>