Automated Remote Diagnosis of Dermatological Neoplasms

Minimum requirements for techniques of remote and automated diagnostics of skin neoplasms are formulated. For the first time, requests received by the Russian teledermatological service are analyzed to determine promising directions for the development of techniques of computer analysis of skin neoplasm images.

This is a preview of subscription content, access via your institution.


  1. 1.

    Sergeev, Yu. Yu. and Sergeev, V. Yu., “Experience in remote assessment of dermatoscopic images,” in: Coll. Thes. XI Sci.-Pract. Conf. of Dermato-venerologists and Cosmetologists (2017), pp. 89-91.

  2. 2.

    Ferrándiz L., Ojeda_Vila T., et al., “Internet-based skin cancer screening using clinical images alone or in conjunction with dermoscopic images: A randomized teledermoscopy trial,” J. Am. Acad. Dermatol., 76, No. 4, 676-682 (2017).

    Article  Google Scholar 

  3. 3.

    Rotin, D. L., Petrovichev, N. N., Pavlovskaya, A. I., Nikitaev, V. G., Berdnikovich, E. Yu., Pronichev, A. N., and Popov, D. A., “Expert system for histological diagnosis of thyroid tumors,” Arkhiv Patologii., 66, No. 2, 47-51 (2004).

    Google Scholar 

  4. 4.

    Prilepskaya, E. A., Kovylina, M. V., Govorov, A. V., Glotov, A. V., Vasilyev, A. O., Kolontarev, K. B., Nikitaev, V. G., Pronichev, A. N., and Pushkar, D. Yu., “Possibilities of automated image analysis in pathology,” Arkhiv Patologii, 78, No. 1, 51-55 (2016).

    Article  Google Scholar 

  5. 5.

    Nikitaev, V. G., “Modern measurement principles in intellectual systems for a histological diagnosis of oncological illnesses,” Meas. Techn., 58, No. 4, 68-70 (2015).

    Article  Google Scholar 

  6. 6.

    Davydov, M. I., Selchuk, V. Yu., Nikitaev, V. G., Nagornov, O. V., Pronichev, A. N., Dmitrieva, V. V., Polyakov, E. V., Rasulov, A. O., Kononets, V. P., Melikhov, S. A., Akimov, I. S., Aidunbekov, Z. M., Kadashev, V. I., Lavrova, A. A., Golovanova, V. K., Pashnuk, A. A., and Strigin, V. E., “Physical research methods in expert systems of oncological disease diagnostics,” Bull. Lebedev Physics Institute, 42, No. 8, 237-239 (2015).

    Article  Google Scholar 

  7. 7.

    Nikitaev, V. G., Nagumanova, Yu. R., Pronichev, A. N., and Chistov, K. S., “Characteristics of the design of systems for the recognition of shapes for the diagnostics of acute leukoses using methods of computer microscopy,” Meas. Techn., 55, No. 5, 583-588 (2012).

    Article  Google Scholar 

  8. 8.

    Weber, Ph., Tschandl, Ph., Sinz, С., and Kittler, Н., “Dermatoscopy of neoplastic skin lesions: Recent advances, updates, and revisions,” Curr. Treat. Opt. Oncol., 19, No. 11, 56 (2018).

    Article  Google Scholar 

  9. 9.

    Sergeev, Yu. Yu. and Sergeev, V. Yu., “From skin videomicroscopy to a Russian digital dermatoscope,” Dermatol. Ross., No. S1, 83-84 (2017).

  10. 10.

    Sergeev, Yu. Yu. and Sergeev, V. Yu., “Melanoma Diagnostics Day in 2017,” in: Coll. Thes. XI Sci.-Pract. Conf. of Dermato-venerologists and Cosmetologists (2017), pp. 87-89.

  11. 11.

    Sergeev, Yu. Yu. and Mordovtseva, V. V., “Skin cancer screening under ambulatory conditions,” Kreml. Med. Klin. Vestn., No. 1, 84-88 (2018).

  12. 12.

    Sergeev, Yu. Yu. and Sergeev, V. Yu., “Is remote diagnostics of skin neoplasms possible?” in: Coll. Thes. XI Sci.-Pract. Conf. of Dermato-venerologists and Cosmetologists (2017), p. 120.

Download references

Author information



Corresponding author

Correspondence to V. G. Nikitaev.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 53, No. 3, May-Jun., 2019, pp. 32-33.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Sergeev, V.Y., Sergeev, Y.Y., Tamrazova, O.B. et al. Automated Remote Diagnosis of Dermatological Neoplasms. Biomed Eng 53, 194–195 (2019).

Download citation