Lesion localization in digital breast tomosynthesis with deformable transformers by using 2.5D information
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SPIE
Reference13 articles.
1. Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model;Buda;arXiv preprint arXiv:2011.07995,2020
2. Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets
3. Breast Lesions Detection and Classification via YOLO-Based Fusion Models
4. Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network
5. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
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