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Sep 2026

An adjacent-frame Siamese U-Net for markerless angle-agnostic lung tumor tracking from projections in radiotherapy.

BACKGROUND Respiratory motion and inter-fraction anatomical variations reduce the accuracy of dose delivery in lung cancer radiotherapy. Projection-based tumor tracking methods are limited by anatomical overlap and weak tumor contrast. This study developed a deep learning-based real-time, angle-agnostic tumor tracking...

Qiu-Yi Ye, Xiang-Yu Zhang, Xiang-Jie Tan et al. · 0 citations
Aug 2026

Physics in Medicine & Biology

Objective. To develop and validate UNetrDose, a Transformer-based deep learning model designed for fast and accurate photon beamlet dose prediction. The study aims to achieve Monte Carlo (MC)-level dosimetric accuracy using only CT-derived electron density images and beamlet coordinates as input, enabling the efficient...

Qiang Wang, Ying Song, Sen Bai et al. · 0 citations

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