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Fudan University Shanghai Cancer Center
Accurate radiotherapy dose prediction largely depends on beam configuration, but most deep learning-based dose prediction models rely on explicit beam Angle input, which is not feasible in the early stages of planning. This study proposes a unified framework...
Breast cancer is the second leading cause of cancer death among women. Fortunately, for this biologically heterogeneous disease, several molecular subtypes corresponding to distinct responses to treatments and prognoses have been recognized, enabling subtype-...
Neoadjuvant chemoradiotherapy (nCRT) improves local control in patients with locally advanced rectal cancer (LARC); however, substantial heterogeneity exists in postoperative recurrence risk. This study aimed to evaluate the feasibility of predicting postoper...
Accurate assessment of locally advanced rectal cancer (LARC) following neoadjuvant chemoradiotherapy (nCRT) is critical for treatment stratification. However, manual Tumor Regression Grade (TRG) suffers from inter-observer variability and subjective bias. Thi...
Adaptive radiotherapy (ART) requires accurate and efficient delineation of the planning target volume (PTV) on daily imaging. However, conventional automatic segmentation methods rely on large-scale, high-quality annotations, while registration-based contour...