Development
Using deep learning to detect prostate cancer
Njord A. Solberg
Prostate cancer is the most common cancer in Norwegian males. But most cases have a very good prognosis if diagnosed and treated early. Could deep learning algorithms assist medical personnel in early detection and correct classification of prostate cancer from MRI scans? This presentation will cover how to implement deep learning models for detection and classification of prostate cancer in medical images, methods for working with very imbalanced datasets and relate the experience of trying to solve what turned out to be a very hard problem.
Njord has a master's degree in Cognitive Semiotic and two bachelor's degrees, one in Computer Science and one in Arts and Culture Studies. He has over 5 years of experience with digitization in educational sector and has held more than a 100 presentation and workshops on the subjects of digitization, prototyping and basic programming. As a developer Njord loves automation, test-driven design (TDD) and continuous integration and development (CI/CD).
Njord A. Solberg
![Njord A. Solberg](/_next/image?url=https%3A%2F%2Fsessionize.com%2Fimage%2Fd545-400o400o1-PX6ARrVEUP39W6Udp31t4U.png&w=640&q=75)