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Target volume contouring for radiation therapy is considered significantly more challenging than the normal organ segmentation tasks as it necessitates the utilization of both image and text-based clinical information.
Generalized overlap measures for evaluation and validation in medical image analysis
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Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning
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Estro consensus guideline on target volume delineation for elective radiation therapy of early stage breast cancer
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Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network
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Machine learning for the prediction of new-onset diabetes mellitus during 5-year follow-up in non-diabetic patients with cardiovascular risks
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Artificial intelligence in radiation oncology
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Clinical evaluation of atlas-and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer
Choi, M. S. et al · 2020
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Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery
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Learning transferable visual models from natural language supervision
Radford, A. et al · 2021
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Lora: Low-rank adaptation of large language models (2021)
Hu, E. J. et al · 2021
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Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy
Shi, F. et al · 2022
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Large language models encode clinical knowledge
Singhal, K. et al · 2022
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Jia, M. et al · 2022
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Conditional prompt learning for vision-language models (2022)
Foundation models for generalist medical artificial intelligence
Moor, M. et al · 2023
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Towards generalist biomedical ai
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Kim, K., Oh, Y. & Ye, J. C · 2023
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Wang, W. et al · 2023
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Unetr: Transformers for 3d medical image segmentation
Hatamizadeh, A. et al · 2022
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Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning
Tiu, E. et al · 2022
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Multi-modal understanding and generation for medical images and text via vision-language pre-training
Moon, J. H., Lee, H., Shin, W., Kim, Y.-H. & Choi, E · 2022
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Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study
Hosny, A. et al · 2022
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Segment anything model (sam) for radiation oncology
Zhang, L. et al · 2023
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Artificial general intelligence for radiation oncology (2023)
Liu, C. et al · 2023
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Lai, X. et al · 2023
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Huemann, Z., Hu, J. & Bradshaw, T · 2023
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Huang, Z., Zhang, X. & Zhang, S · 2023
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Open-vocabulary panoptic segmentation with text-to-image diffusion models
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Llm-driven multimodal target volume contouring in radiation oncology (2024)
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