Enhancing local context of histology features in vision transformers
Predicting complete response to radiotherapy in rectal cancer patients using deep learning approaches from morphological features extracted from histology biopsies provides a quick, low-cost and effective way to assist clinical decision making. We propose adjustments to the Vision Transformer (ViT)...
| Main Authors: | , , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2022
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