Early Cancer Detection Through Deep Learning Analysis of CT Scan Imagery

Early cancer detection is crucial for enabling effective treatment but the current methods like manually analyzing CT scan images by hand, have some significant challenges. It takes huge time and sometimes error occurs, which can mean people don’t get the right treatment when they need it. Also, there are so many scans and not enough experts to look at them all quickly, which makes things even harder. To fix this, medical practitioners are getting assistance from computers. Recently, the computers are trained to analyze CT scans and find cancer automatically using Convolutional Neural Networks (CNNs). The idea of this research work is to make a tool that doctors can use easily and quickly to detect cancer. This study has considered different methods, like EfficientNet and DenseNet to make a computer program even better at detecting cancer. With these improvements, doctors can find cancer faster and more accurately, which enables better chances for peoplegetting the right treatment on time.