DeepDerm: Detection of Cancerous Skin Lesions Through Deep Learning

With over 17 million new cases and almost 10 million deaths per year, cancer is one of the deadliest diseases in the world. [1] Although funding for cancer-related initiatives has steadily increased in recent years, many oncological problems whether in prevention, diagnosis, or therapeutics remain largely intractable. In the past, lack of access to genetic and high-quality imaging data (crucial for genetic-based, visually-presenting diseases such as various types of cancer) was a significant rate-limiting step, but as genomic sequencing and medical imaging technology has improved, researchers are faced with a new problem: harnessing these massive quantities of multi-dimensional data to improve clinical decision-making.