AI also offers more accurate and timely ability to pinpoint where cancer cells lie. Using current cancer-treatment methods like radiotherapy, it’s challenging to pinpoint exactly which cells are cancerous and which are healthy with enough accuracy to avoid killing healthy cells. Instead, in the cancer domain, physicians often overcompensate and kill more cells than is actually necessary, compromising patient health. In addition, between cancer diagnosis and treatment, a tumor often moves, which means the wrong place receives irradiation. And that delay can be quite long, due to a shortage of experts.
This scenario has always been the best possible solution, but now, deep learning has a much more precise answer. AI can aid in more precise diagnosis within areas like tumor segmentation, allowing practitioners to work with real-time indications rather than waiting for responses, and making it much easier for caregivers to plan and prioritize. Patients could benefit from a shorter wait time to get answers to their pressing health questions.
Get more insight into how Peltarion supports healthcare and diagnostics
The Peltarion Platform is set up to support deep learning methods and replicate groundbreaking research results while enabling non-experts to both apply and better understand the deep learning process. The Peltarion Platform has already been used to segment skin lesions and locate brain tumors, making segmentation more precise and acting as decision support for doctors. Try the Tutorial Skin lesion segmentation to learn how to build a model that will solve an image segmentation problem in the healthcare domain.