Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021（2021）
关键词
large-scale weakly labeled data,semisupervised mass detection,mammograms,mammographic mass detection,computer-aided diagnosis system,mass detection model,fully supervised fashion,self-training framework,soft image-level labels,diagnosis reports,RoBERTa-based natural language processing model,fully labeled data,fully supervised model,pixel-level masks,entire weakly labeled data,image-level soft label,self-training fashion,current model output,soft labels,soft cross-entropy loss,soft focal loss,pixel-level classification loss,semisupervised framework,mass detection accuracy,supervised baseline,previous state-of-the-art semisupervised approaches
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