Deep Learning-Based Cancer Detection-Recent Developments, Trend and Challenges

Cancer is one of the most critical diseases that has caused several deaths in today’s world. In cases, doctors and practitioners are only able to diagnose cancer its later stages. stages, planning treatment increasing patient’s survival rate becomes a very challenging task. Therefore, it need hour detect early stages for appropriate surgery planning. Analysis interpretation medical images such as MRI CT scans help many diseases, including disease. However, manual costly, time-consuming biased. Nowadays, deep learning, subset artificial intelligence, gaining attention from automatically analysing interpreting without their intervention. Deep learning methods have reported extraordinary results different fields due ability extract intrinsic features any dependence on manually extracted features. This study provides comprehensive review detection diagnosis, mainly focusing breast cancer, brain skin prostate cancer. describes various models steps applying detecting Recent developments based been critically analysed summarised identify challenges them accurately Based identified challenges, we provide few promising future research directions fellow researchers field. The outcome this clues developing practical accurate systems diagnosis