{"ID":2868818,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.15947","arxiv_id":"2509.15947","title":"The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection","abstract":"Large-scale pre-training holds the promise to advance 3D medical object detection, a crucial component of accurate computer-aided diagnosis. Yet, it remains underexplored compared to segmentation, where pre-training has already demonstrated significant benefits. Existing pre-training approaches for 3D object detection rely on 2D medical data or natural image pre-training, failing to fully leverage 3D volumetric information. In this work, we present the first systematic study of how existing pre-training methods can be integrated into state-of-the-art detection architectures, covering both CNNs and Transformers. Our results show that pre-training consistently improves detection performance across various tasks and datasets. Notably, reconstruction-based self-supervised pre-training outperforms supervised pre-training, while contrastive pre-training provides no clear benefit for 3D medical object detection. Our code is publicly available at: https://github.com/MIC-DKFZ/nnDetection-finetuning.","short_abstract":"Large-scale pre-training holds the promise to advance 3D medical object detection, a crucial component of accurate computer-aided diagnosis. Yet, it remains underexplored compared to segmentation, where pre-training has already demonstrated significant benefits. Existing pre-training approaches for 3D object detection...","url_abs":"https://arxiv.org/abs/2509.15947","url_pdf":"https://arxiv.org/pdf/2509.15947v1","authors":"[\"Katharina Eckstein\",\"Constantin Ulrich\",\"Michael Baumgartner\",\"Jessica Kächele\",\"Dimitrios Bounias\",\"Tassilo Wald\",\"Ralf Floca\",\"Klaus H. Maier-Hein\"]","published":"2025-09-19T12:55:51Z","proceeding":"eess.IV","tasks":"[\"eess.IV\",\"cs.CV\",\"cs.LG\"]","methods":"[\"Transformer\",\"Convolutional Neural Network\"]","has_code":false,"code_links":[{"ID":609624,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2868818,"paper_url":"https://arxiv.org/abs/2509.15947","paper_title":"The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection","repo_url":"https://github.com/MIC-DKFZ/nnDetection-finetuning","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}