A Survey on Applications of Deep Learning Techniques in Medical Diagnostics for Cancer Detection

Abstract

One of the most important aspects of treating a cancer patient is how early a disease is diagnosed. The process involved in the diagnosis of cancerous disease is highly complicated, time taking, and costly. Even the delay in the detection is hazardous. Getting an accurate result of the diagnosis is also a persisting challenge. Under such critical scenarios, the use of AI -Artificial Intelligence and ML- Machine Learning and its related other technologies are playing a vital role in medical sciences nowadays. Particularly CNN- Convolutional Neural Networks   and DL- Deep Learning technologies are most promptly utilized for the analysis of medical images and detection of cancer. This paper comprises of brief review on such methods and the result obtained by applying in medical diagnosis with predicted accuracy to detect cancers (like Chest, Lung, Breast, Ovarian, Oral, Skin, Brain, Prostate, Pancreatic and Gastric cancer etc.) based on available medical data set.