Journals
Books
Articles by keyword melanoma
Algorithms of digital image processing for melanoma diagnosis
Uk Kang, S-J. Bae, N. Oboukhova, G. Papayan
Features of the development of the automated complex for rapid diagnosis of pigmented skin lesions
E.N. Rimskaya - Student, Department of Medical-Technical Information Technologies (BMT-2), Bauman Moscow State Technical University E-mail: romehelen@gmail.com I.A. Apollonova - Ph.D. (Eng.), Associate Professor, Department of Medical and Technical Management (BMT-4), Bauman Moscow State Technical University E-mail: apollonova-i@yandex.ru A.P. Nikolaev - Dr.Sc (Med.), Professor, Head of Department of Medical and Technical Management (BMT-4), Bauman Moscow State Technical University E-mail: apnikolaev@yandex.ru I.V. Rechetov - Dr. Sc. (Med.), Professor, Corresponding Member, Director, NOKTS «Plastic Surgery», Medical University PMGMU I.N. Sechenov (Moscow) E-mail: reshetoviv@mail.ru K.G. Kudrin - Technical Director, LLC «New Technologies  Biomedical Innovation Centre» (Moscow) E-mail: kudrin_k@rambler.ru
Application of microwave radiometry in dermatology

M.K. Sedankin1, S.G. Vesnin2, A.G. Gudkov3, K.V. Zhuravleva4, V.V. Nazarov5, S.V. Chizhikov6

1–3,5,6 Bauman Moscow State Technical University (Moscow, Russia)

4 Moscow Power Engineering Institute (Moscow, Russia)

The model of hyper- and hypopigmented structureless areas recognition in the pigmented skin neoplasms

V.G. Nikitayev1, A.N. Pronichev2, V.Yu. Sergeev3, V.S. Kozlov4

1,2,4 National Research Nuclear University «MEPhI» (Moscow, Russia)
3 LLC «Clinic of Dermatology» (Moscow, Russia)

Digital oncodermatology: recognition model of nucleoplasm’s type of lines pattern in lack of other features based on neural networks

V. G. Nikitayev1, A.N. Pronichev2, O.V. Nagornov3, V.Yu. Sergeev4, A.I. Otchenashenko5, A.A. Buslaev6

1–3, 5, 6 National Research Nuclear University “MEPhI” (Moscow, Russia)
2 Oncodermatology Clinic LLC (Moscow, Russia)

Interdisciplinary model of pigment network on dermatoscopic images in skin disease diagnostic devices

V. G. Nikitaev1, A. N. Pronichev2, O.V. Nagornov3, V. Yu. Sergeev4, A. V. Kozyreva5

1–3 National Research Nuclear University "MEPhI" (Moscow, Russia)
4 Federal State Budgetary Institution of Continuing Professional Education «Central State Medical Academy (Moscow, Russia)
5 National Technical Physics and Automation Research Institute (Moscow, Russia)
1 vgnikitayev@mephi.ru, 2 anpronichev@mephi.ru, 3 ovnagornov@mephi.ru, 4 vasyur@yandex.ru, 5 a.v.kozyreva2015@gmail.com