Diagnosis of breast cancer tumor type

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Dadashian Elena; Tirgar Bita; basiri meraj; Nafe Karimi Mohamad reza; Haji mohamad taghi alaghe band Mani; Shafizade Arshiya

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON AGRICULTURAL SCIENCES, MEDICINAL PLANTS AND TRADITIONAL MEDICINE
Year:2024 | Issue:7

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Title

Diagnosis of breast cancer tumor type

Author(s)

Keywords

Breast CancerQ4

SAM AIQ4

Artificial IntelligenceQ4

RegressionQ4

DiagnosisQ4

TumorQ4

ChemotherapyQ4

Abstract

The most common types of cancer are breast, lung, colorectal, and prostate cancer, while colon and liver cancer are the leading causes of cancer deaths. Cancer poses a significant risk to public health due to premature mortality, reduced productivity, high treatment costs, and long-term impacts on quality of life. Early Diagnosis and effective treatment can lead to successful outcomes for many cancer patients. In cancer research, early detection of Breast Cancer affects the prognosis and longevity of the patient. Artificial methods and data pre-mining are among the ways to assist in this case. The purpose of this article is to design and evaluate a new automatic computer Diagnosis system for predicting the type of breast mass by using a fuzzy combination of Regression methods.

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