EP-1049: Application of artificial intelligence for breast cancer classification before adjuvant radiation therapy

Artificial Intelligence Approach to Breast Cancer Classification

Skin Reaction in Radiation Therapy for Breast Cancer

Introduction The first medical intervention for many breast cancer patients is breast conserving surgery (BCS) and/or modified radical mastectomy (MRM). Most of these patients undergo radiation therapy, following surgery. The most common side-effect of breast radiotherapy is skin damage. In the present study, the severity of acute skin changes and the underlying causes were investigated in pati...

Application of Artificial Intelligence in Tumors Sizing Classification for Breast Cancer

The staging in breast cancer is one of the most important prognostic factors. However, the complex coding TNM criteria, which includes clinical and pathological components, the existence of different versions of TNM classification guides over time, and the variability of the source used to obtain data, makes the manual collection of TNM staging in free text be variable and imprecise. The aim of...

ADABOOST ENSEMBLE ALGORITHMS FOR BREAST CANCER CLASSIFICATION

With an advance in technologies, different tumor features have been collected for Breast Cancer (BC) diagnosis, processing of dealing with large data set suffers some challenges which include high storage capacity and time require for accessing and processing. The objective of this paper is to classify BC based on the extracted tumor features. To extract useful information and diagnose the tumo...

Radiation Therapy for Breast Cancer

Radiation therapy represents an important aspect of breast cancer treatment. Application of irradiation reduces the incidence of local disease recurrence and improves overall survival of breast cancer patients. Studies have shown that adjuvant irradiation after breast-conserving surgery has the same result as a mastectomy, so adjuvant radiotherapy enables sparing surgery in breast cancer patien...