Sponsored Advertising Content
Red Ion
Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
Jiayi Yu
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute
Cross-Attention Based Multi-Modal Deep Learning Models for Predicting Local Recurrence In Non-Small Cell Lung Cancer
To develop cross-attention-based multi-modal deep learning models and to preliminarily validate their performance for predicting local recurrence (LR) in patients with non-small cell lung cancer (NSCLC).
Poster Program · Therapy Physics
Deep Learning-Based LS-SCLC Patient Selection for the New First-Line Treatment Using High-Dose Hyperfractionated SIB Radiotherapy
To develop risk-stratification and prognosis-prediction models for limited-stage small cell lung cancer (LS-SCLC) patients, suggesting potential candidates that may benefit from the new treatment protocol using high-dose hyperfractionated simultaneous integra...
Poster Program · Clinical Trials Specialty Program
Inter-Fractional Spatiotemporal Dosiomics Improves the Prediction of Local Progression for Patients with Small Cell Lung Cancer
To propose and validate a novel dosimetric method integrating inter-fractional temporal dose changes for improved SCLC prognosis management and individualized decision-making.
Poster Program · Therapy Physics