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Congress: ECR25
Poster Number: C-24676
Type: Poster: EPOS Radiologist (scientific)
DOI: 10.26044/ecr2025/C-24676
Authorblock: M. Kamran1, M. Bernathova1, R. Varga2, T. H. Helbich2, G. Langs1, P. Seeböck1; 1Vienna/AT, 2Wien/AT
Disclosures:
Mohammed Kamran: Nothing to disclose
Maria Bernathova: Nothing to disclose
Raoul Varga: Nothing to disclose
Thomas H. Helbich: Nothing to disclose
Georg Langs: Nothing to disclose
Philipp Seeböck: Nothing to disclose
Keywords: Artificial Intelligence, Breast, Computer applications, MR, CAD, Computer Applications-Detection, diagnosis, Computer Applications-General, Cancer
References
  1. Chen, Liang-Chieh, et al. "Rethinking atrous convolution for semantic image segmentation. arXiv." arXiv preprint arXiv:1706.05587 5 (2017).
  2. Seeböck, Philipp, et al. "Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection." Medical Image Analysis 93 (2024): 103104.
  3. Chen, Jieneng, et al. "Transunet: Transformers make strong encoders for medical image segmentation." arXiv preprint arXiv:2102.04306 (2021).
  4. Hatamizadeh, Ali, et al. "Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images." International MICCAI Brainlesion Workshop. Cham: Springer International Publishing, 2021.
  5. Zhao, Theodore, et al. "BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once." arXiv preprint arXiv:2405.12971 (2024).
  6. Zhao, Xiaoming, et al. "BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification." Computers in Biology and Medicine 164 (2023): 107255.
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