False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection..论文笔记
论文目标是病灶检测，参考了别的论文的一个模型，FPR模块的作用可以作为目标检测模型的后处理，具体内容如下： 1.Introduction 在不同的MRI扫描对比中，在前列腺癌和良性组织之间强度的相似度很高。再加上癌性病变的大小差异，使得前列腺癌性病变的检测（减少假阳性）特别具有挑战性。 目标检测模型检测到的病灶可以看作是候选病灶，需要进一步分析和区分真假病灶。检测网络使用前列腺成像报告和数据系统(
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相关文章
- 1. 论文笔记《Adversarial Networks for Prostate Cancer Detection》
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