Dataset Groups Activity Stream Polymerized Feature-Based Domain Adaptation for Cervical Cancer The proposed method is implemented by the Pytorch framework using a NVIDIA GeForce RTX 3090 GPU with 24GB memory. BibTex: @dataset{Jie_Zeng_and_Zeyu_Han_and_Xingchen_Peng_and_Jianghong_Xiao_and_Peng_Wang_and_Yan_Wang_2024, abstract = {The proposed method is implemented by the Pytorch framework using a NVIDIA GeForce RTX 3090 GPU with 24GB memory.}, author = {Jie Zeng and Zeyu Han and Xingchen Peng and Jianghong Xiao and Peng Wang and Yan Wang}, doi = {10.57702/jhfrv48o}, institution = {No Organization}, keyword = {'cervical cancer', 'domain adaptation', 'radiation therapy'}, month = {dec}, publisher = {TIB}, title = {Polymerized Feature-Based Domain Adaptation for Cervical Cancer}, url = {https://service.tib.eu/ldmservice/dataset/polymerized-feature-based-domain-adaptation-for-cervical-cancer}, year = {2024} }
