Gall Bladder Cancer Detection from US Images with only Image Level Labels
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43907-0_20
Reference26 articles.
1. Ali, S., et al.: A multi-centre polyp detection and segmentation dataset for generalisability assessment. Scientific Data 10(1), 75 (2023)
2. Bai, H., Zhang, R., Wang, J., Wan, X.: Weakly supervised object localization via transformer with implicit spatial calibration. In: ECCV. pp. 612–628. Springer (2022). https://doi.org/10.1007/978-3-031-20077-9_36
3. Basu, S., Gupta, M., Rana, P., Gupta, P., Arora, C.: Surpassing the human accuracy: Detecting gallbladder cancer from USG images with curriculum learning. In: CVPR, pp. 20886–20896 (2022)
4. Basu, S., Gupta, M., Rana, P., Gupta, P., Arora, C.: Radformer: transformers with global-local attention for interpretable and accurate gallbladder cancer detection. Med. Image Anal. 83, 102676 (2023)
5. Basu, S., Singla, S., Gupta, M., Rana, P., Gupta, P., Arora, C.: Unsupervised contrastive learning of image representations from ultrasound videos with hard negative mining. In: MICCAI, pp. 423–433. Springer (2022). https://doi.org/10.1007/978-3-031-16440-8_41
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