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eess.IV2023
Polymerized Feature-based Domain Adaptation for Cervical Cancer Dose Map Prediction
Jie Zeng, Zeyu Han, Xingchen Peng +3
Recently, deep learning (DL) has automated and accelerated the clinical radiation therapy (RT) planning significantly by predicting accurate dose maps. However, most DL-based dose…
eess.IV2020
DSU-net: Dense SegU-net for automatic head-and-neck tumor segmentation in MR images
Pin Tang, Chen Zu, Mei Hong +7
Precise and accurate segmentation of the most common head-and-neck tumor, nasopharyngeal carcinoma (NPC), in MRI sheds light on treatment and regulatory decisions making. However,…