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Lesion Localization...
Lesion Localization in Digital Breast Tomosynthesis with Deformable Transformers by Using 2.5D Information
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- Yang, Zhikai (författare)
- KTH,Medicinsk avbildning
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- Fan, Tianyu (författare)
- KTH,Medicinteknik och hälsosystem
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- Smedby, Örjan, Professor, 1956- (författare)
- KTH,Medicinsk avbildning
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- Moreno, Rodrigo, 1973- (författare)
- KTH,Medicinsk avbildning
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(creator_code:org_t)
- SPIE-Intl Soc Optical Eng, 2024
- 2024
- Engelska.
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Ingår i: Medical Imaging 2024: Computer-Aided Diagnosis. - : SPIE-Intl Soc Optical Eng.
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this study, we adapted a transformer-based method to localize lesions in digital breast tomosynthesis (DBT) images. Compared with convolutional neural network-based object detection methods, the transformer-based method does not require non-maximum suppression postprocessing. Integrated deformable convolution detection transformers can better capture small-size lesions. We added transfer learning to tackle the issue of the lack of annotated data from DBT. To validate the superiority of the transformer-based detection method, we compared the results with deep-learning object detection methods. The experimental results demonstrated that the proposed method performs better than all comparison methods.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Deformable Transformers
- Digital Breast Tomosynthesis
- Lesion Localization
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)