Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Multiscale Multimodal Medical Imaging, Lecture Notes in Computer Science 13594, 110–120 (2022).
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This conference paper is recorded in Multiscale Multimodal Medical Imaging (2022). This page consolidates verified bibliographic metadata and the external records or research artifacts listed here.
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Publication record
- Work type
- Conference paper
- Year
- 2022
- Publication date
- 2022-10-12
- Status
- Published · Preprint available
- Venue
- Multiscale Multimodal Medical Imaging
- Publisher
- Springer
- Volume
- 13594
- Pages
- 110-120
- Last verified
- 2026-08-02
Research topics
- vision transformers
- patch size
- tumor segmentation
- medical imaging
Title variants
- Tumour Segmentation in Colorectal Liver Metastasis Using an Optimal Vision Transformer Patch Resolution
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Cite this work
Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, and Amber L. Simpson. “Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation.” Multiscale Multimodal Medical Imaging, Lecture Notes in Computer Science 13594, 110–120 (2022). https://doi.org/10.1007/978-3-031-18814-5_11
@inproceedings{Mojtahedi2022OptimalPatch,
author = {Ramtin Mojtahedi and Mohammad Hamghalam and Richard K. G. Do and Amber L. Simpson},
title = {{Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation}},
year = {2022},
booktitle = {Multiscale Multimodal Medical Imaging},
volume = {13594},
pages = {110-120},
publisher = {Springer},
doi = {10.1007/978-3-031-18814-5\_11},
url = {https://doi.org/10.1007/978-3-031-18814-5\_11}
}Persistent discovery
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