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BREAST CANCER CLASSIFICATION IN MAMMOGRAMS. / Валиева, Нафиса Ленисовна; Гончарова, Анастасия Борисовна.

ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ. Vol. 11 1. ed. Смирнов Николай Васильевич, 2024. p. 168-172.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Валиева, НЛ & Гончарова, АБ 2024, BREAST CANCER CLASSIFICATION IN MAMMOGRAMS. in ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ. 1 edn, vol. 11, Смирнов Николай Васильевич, pp. 168-172, LV Международная научная конференция аспирантов и студентов "Процессы управления и устойчивость", Санкт-Петербург, Russian Federation, 1/04/24. <https://elibrary.ru/item.asp?id=67899391>

APA

Валиева, Н. Л., & Гончарова, А. Б. (2024). BREAST CANCER CLASSIFICATION IN MAMMOGRAMS. In ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ (1 ed., Vol. 11, pp. 168-172). Смирнов Николай Васильевич. https://elibrary.ru/item.asp?id=67899391

Vancouver

Валиева НЛ, Гончарова АБ. BREAST CANCER CLASSIFICATION IN MAMMOGRAMS. In ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ. 1 ed. Vol. 11. Смирнов Николай Васильевич. 2024. p. 168-172

Author

Валиева, Нафиса Ленисовна ; Гончарова, Анастасия Борисовна. / BREAST CANCER CLASSIFICATION IN MAMMOGRAMS. ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ. Vol. 11 1. ed. Смирнов Николай Васильевич, 2024. pp. 168-172

BibTeX

@inproceedings{bf16e87b73b9460c92583cc0f30088be,
title = "BREAST CANCER CLASSIFICATION IN MAMMOGRAMS",
abstract = "Breast Cancer causes millions of deaths every year. So, about 2.3 million women were diagnosed with this disease in 2020. Among which nearly 90% of patients have no risk excluding age and sex. Usually, breast cancer is detected by doctors using X-Ray, CT and MRI. Nevertheless, the development of Artificial Intelligence (AI) gave rise to the Computer-Aided Diagnosis (CAD) systems to assist doctors in their routine work. The need for interpretable and trustworthy AI is now key aim in most fields of AI research. Therefore, the aim of this research is to classify breast cancer images using different approaches and try to interpret them automatically.",
author = "Валиева, {Нафиса Ленисовна} and Гончарова, {Анастасия Борисовна}",
year = "2024",
language = "русский",
volume = "11",
pages = "168--172",
booktitle = "ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ",
publisher = "Смирнов Николай Васильевич",
address = "Российская Федерация",
edition = "1",
note = "LV Международная научная конференция аспирантов и студентов {"}Процессы управления и устойчивость{"}, CPS{\textquoteright}24 ; Conference date: 01-04-2024 Through 05-04-2024",
url = "http://www.cpsconf.ru/news/, http://cpsconf.ru/news/",

}

RIS

TY - GEN

T1 - BREAST CANCER CLASSIFICATION IN MAMMOGRAMS

AU - Валиева, Нафиса Ленисовна

AU - Гончарова, Анастасия Борисовна

N1 - Conference code: LV

PY - 2024

Y1 - 2024

N2 - Breast Cancer causes millions of deaths every year. So, about 2.3 million women were diagnosed with this disease in 2020. Among which nearly 90% of patients have no risk excluding age and sex. Usually, breast cancer is detected by doctors using X-Ray, CT and MRI. Nevertheless, the development of Artificial Intelligence (AI) gave rise to the Computer-Aided Diagnosis (CAD) systems to assist doctors in their routine work. The need for interpretable and trustworthy AI is now key aim in most fields of AI research. Therefore, the aim of this research is to classify breast cancer images using different approaches and try to interpret them automatically.

AB - Breast Cancer causes millions of deaths every year. So, about 2.3 million women were diagnosed with this disease in 2020. Among which nearly 90% of patients have no risk excluding age and sex. Usually, breast cancer is detected by doctors using X-Ray, CT and MRI. Nevertheless, the development of Artificial Intelligence (AI) gave rise to the Computer-Aided Diagnosis (CAD) systems to assist doctors in their routine work. The need for interpretable and trustworthy AI is now key aim in most fields of AI research. Therefore, the aim of this research is to classify breast cancer images using different approaches and try to interpret them automatically.

M3 - статья в сборнике материалов конференции

VL - 11

SP - 168

EP - 172

BT - ПРОЦЕССЫ УПРАВЛЕНИЯ И УСТОЙЧИВОСТЬ

PB - Смирнов Николай Васильевич

T2 - LV Международная научная конференция аспирантов и студентов "Процессы управления и устойчивость"

Y2 - 1 April 2024 through 5 April 2024

ER -

ID: 122028685