Ayollarda uchraydigan mioma kasalligini segmentatsiyalash orqali aniqlash

Adabiyotlar ro‘yxati:

1. 
   J.Saranya and S. Malarkhodi, Dept of ECE, K S R College of Technology, Tiruchengode, “Flitering and Segmentation of Uterine Fibroid with an Ultrasound Images”, International Conference on pattern recognition, Informatics and Medical Engineering March 21-23, 2012 y. pp 214-218.
   
2. 
   A. Cohen, E.Rivlin, I.Shimshoni, E.Sabo “Memory based active contour algorithm using pixel-level classified images for colon crypt segmentation” Comput Med Imaging Graph 2015 y. pp 19-24.
   
3. 
   Kim Y.S. Kim B.G. Rhim H.Bae D.S. Lee J.W. Kim T.J. Choi C.H. Lee Y.Y.Lim H.K. “Uterine fibroids: semiquantitative perfusion MR imaging parameters associated with the intraprocedural and immediate postprocedural treatment efficiencies of MR imaging-guided high-intensity focused ultrasound ablation” Radiology. 2014 y; pp 462-471.
   
4. 
   Marcos D, Tuia D, Kellenberger B, Zhang L, Bai M, Liao R, Urtasun R (2018) Learning deep structured active contours end-to-end. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp 877–885.
   

Ishtirokchini ro‘yxatga olish kartasi
1. Familiyasi, Ismi, Sharifi Sadullaeva Shaxlo Azimbaevna
2. Ilmiy darajasi
3. Ilmiy unvoni
4. Lavozimi
5. Tashkilot nomi (to‘liq va qisqartirilgan) Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti (Muhammad al-Xorazmiy nomidagiTATU)
6. Elektron pochta [e-mail]
7. Telefon raqami [phone]
8. Davlat O’zbekiston Respublikasi
9. Shahar Toshkent shahar
10. Mualliflar F.I.Sh. va maqolaning nomi Sadullaeva Shaxlo Azimbaevna, Aripova Zulfiya Dilshodovna, Rajabova Maftuna Rustamovna “Ayollarda uchraydigan mioma kasalligini segmentatsiyalash orqali aniqlash”
11. Oflayn shaklda ishtirok etuvchi to‘g‘risida ma’lumot Sadullaeva Shaxlo Azimbaevna
12. Sirtdan ishtirok etuvchi to‘g‘risida ma’lumot Rajabova Maftuna Rustamovna