most citedSparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation

2 citations · 2 across the 2 of their papers we have counts for

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cs.CV2024

Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification

Zhipeng Deng, Yuqiao Yang, Kenji Suzuki

Federated Learning (FL) enables multiple institutes to train models collaboratively without sharing private data. Current FL research focuses on communication efficiency, privacy p…

cs.CV2024★ 2 cited

Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation

Pengyu Dai, Yafei Ou, Yuqiao Yang +2

Accurate tooth identification and segmentation in Cone Beam Computed Tomography (CBCT) dental images can significantly enhance the efficiency and precision of manual diagnoses perf…