Nature

Automatic Segmentation in Radiation Oncology

Automatic segmentation represents a transformative advance in radiation oncology, substantially reducing the time and variability inherent in manual delineation of anatomical structures. This approach ...
ascopubs.org

Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation

The quality of radiotherapy auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of clinician-derived ...
Business Wire

GE HealthCare Introduces Innovations to Improve Radiation Therapy Efficiency and Precision Care at the European Society for Therapeutic Radiology and Oncology 2023 Congress

VIENNA--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) is presenting three new global innovations – Intelligent Radiation Therapy (iRT), Auto Segmentation, and an updated Magnetic Resonance (MR) ...
ascopubs.org

An automatic AI model for tumoral burden detection and segmentation on whole-body MRI: The DIPCAN study.

Bridging the digital literacy gap: Empowering patients and care partners through the Digital Sherpa program. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
EurekAlert!

Deep learning-assisted lesion segmentation in PET/CT imaging: A feasibility study for salvage radiation therapy in prostate cancer

“The deployment of DL segmentation methods in 18F-fluciclovine PET/CT imaging represents an intriguing research direction for precision medicine in salvage prostate cancer care.” “In those scenarios, ...