Management and Economics Scientific Research Journal Volume 2 Issue 2 (2025) · pp. 31-34

GOMPERTZ ALGORITHM FOR THE DETECTION OF BREAST CANCER USING MAMMOGRAPHIC IMAGES

Abdiyeva K.S, Shamsiyeva K, Oblokulov S

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Abstract

Millions of women worldwide are impacted by breast cancer every year, makingit one of the most common malignancies worldwide. An important development in the field is there-parameterized Gompertz method, which is merged with fuzzy rankings and applied to deepConvolutional Neural Network (CNN) models for breast cancer identification from mammographypictures. This study demonstrates how well-established techniques can be used with creative ideasto improve breast cancer detection precision and accuracy.

breast cancer, Gompertz function, mammography, deep learning, ensemble learning.

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Cite

APA 7 
Abdiyeva K.S, Shamsiyeva K & Oblokulov S (2025). GOMPERTZ ALGORITHM FOR THE DETECTION OF BREAST CANCER USING MAMMOGRAPHIC IMAGES. Management and Economics Scientific Research Journal, 2(2), 31-34.
GOST R 7.0.5 
Abdiyeva K.S, Shamsiyeva K, Oblokulov S GOMPERTZ ALGORITHM FOR THE DETECTION OF BREAST CANCER USING MAMMOGRAPHIC IMAGES // Management and Economics Scientific Research Journal. 2025. Т. 2. № 2. С. 31-34.
BibTeX 
@article{k.s2025,
  author  = {Abdiyeva K.S and Shamsiyeva K and Oblokulov S},
  title   = {GOMPERTZ ALGORITHM FOR THE DETECTION OF BREAST CANCER USING MAMMOGRAPHIC IMAGES},
  journal = {Management and Economics Scientific Research Journal},
  year    = {2025},
  volume  = {2},
  number  = {2},
  pages   = {31-34}
}
RIS 
TY  - JOUR
AU  - Abdiyeva K.S
AU  - Shamsiyeva K
AU  - Oblokulov S
TI  - GOMPERTZ ALGORITHM FOR THE DETECTION OF BREAST CANCER USING MAMMOGRAPHIC IMAGES
JO  - Management and Economics Scientific Research Journal
PY  - 2025
VL  - 2
IS  - 2
SP  - 31
EP  - 34
ER  -