Authors - Anurag Agarwal, Mahesh Jangid, Prashant Vats Abstract - Breast cancer starts as a problem with breast cells that multiply too fast, forming growths called lumps. Breast cancer commonly appears in milk ducts before advancing to other body parts, if found too late. The sooner doctors find and diagnose breast cancer, the better patients respond to treatment and survive longer. Better breast cancer detection comes from using large collections of imaging data through AI technology, especially machine learning and deep learning. With transfer learning tools and hybrid networks combined with CNNs sophisticated systems achieve strong results in breast cancer evaluation and characterization. Through their use of artificial intelligence, medical researchers are developing better diagnostic tools and creating wider accessible healthcare systems for worldwide needs.
