• S.Meenakshi
• Dr. A.S. Aneetha

One of the most common diseases that kill women around the world is breast cancer. When a suspicion is expressed, routine exams, typically with digital mammography, should be performed. (DM), magnetic resonance imaging (MRI), and infrared thermography Microwave, microscopic (histological) pictures, and ultrasound it might be advised to use photos, additional instruments, or testing. Now a days, several software and hardware applications use various methods for producing results of a high caliber, particularly the machine learning methods. This publication provides a thorough survey to assess the majority of the precise methods now being used to detect and diagnose breast cancer are both carried out. Besides, varied hardware and software, both for profit and not for profit are discussed in the with their benefits and drawbacks. Detection and dia

Breast cancer, medical modality, methods for detection and diagnosis, CAD systems, and computer-aided design techniques.

"Machine Learning for Breast cancer Detection and Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.a551-a576, September-2023, Available :http://www.jetir.org/papers/JETIR2309066.pdf

"Machine Learning for Breast cancer Detection and Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppa551-a576, September-2023, Available at : http://www.jetir.org/papers/JETIR2309066.pdf