Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.

Journal: Asian Pacific journal of cancer prevention : APJCP
Published Date:

Abstract

UNLABELLED: Background &Objective: Carcinoma of the breast is one of the major issues causing death in women, especially in developing countries. Timely prediction, detection, diagnosis, and efficient therapies have become critical to reducing death rates. Increased use of artificial intelligence, machine, and deep learning techniques create more accurate and trustworthy models for predicting and detecting breast cancer. This study aims to examine the effectiveness of several machine and modern deep learning models for prediction and diagnosis of breast cancer.

Authors

  • Seeta Devi
    Symbiosis College of Nursing (SCON), Symbiosis International Deemed University (SIDU), Pune- 412115, India.
  • Ruchika Kaul Ghanekar
    Symbiosis Centre for Research and Innovation (SCRI), Symbiosis International (Deemed University) (SIDU), Pune, 412115, India.
  • Jayshree Ashok Pande
    Symbiosis Institute of Technology (SIT), Symbiosis International Deemed University (SIDU), Pune- 412115, India.
  • Dipali Dumbre
    Symbiosis College of Nursing (SCON), Symbiosis International Deemed University (SIDU), Pune- 412115, India.
  • Ranjana Chavan
    Symbiosis College of Nursing (SCON), Symbiosis International Deemed University (SIDU), Pune- 412115, India.
  • Harshita Gupta
    Symbiosis Institute of Technology (SIT), Symbiosis International Deemed University (SIDU), Pune- 412115, India.