Name
Title | ||
|---|---|---|
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale |
Abstract | ||
|---|---|---|
The acquisition of large-scale medical image data, necessary for training machine learning algorithms, is hampered by associated expert-driven annotation costs. Mining hospital archives can address this problem, but labels often incomplete or noisy, e.g., 50% of the lesions in DeepLesion are left unlabeled. Thus, effective label harvesting methods are critical. This is the goal of our work, where we introduce Lesion-Harvester-a powerful system to harvest missing annotations from lesion datasets at high precision. Accepting the need for some degree of expert labor, we use a small fully-labeled image subset to intelligently mine annotations from the remainder. To do this, we chain together a highly sensitive lesion proposal generator (LPG) and a very selective lesion proposal classifier (LPC). Using a new hard negative suppression loss, the resulting harvested and hard-negative proposals are then employed to iteratively finetune our LPG. While our framework is generic, we optimize our performance by proposing a new 3D contextual LPG and by using a global-local multi-view LPC. Experiments on DeepLesion demonstrate that Lesion-Harvester can discover an additional 9,805 lesions at a precision of 90%. We publicly release the harvested lesions, along with a new test set of completely annotated DeepLesion volumes. We also present a pseudo 3D IoU evaluation metric that corresponds much better to the real 3D IoU than current DeepLesion evaluation metrics. To quantify the downstream benefits of Lesion-Harvester we show that augmenting the DeepLesion annotations with our harvested lesions allows state-of-the-art detectors to boost their average precision by 7 to 10%. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2020.3022034 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Algorithms,Machine Learning | Journal | 40 |
Issue | ISSN | Citations |
1 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinzheng Cai | 1 | 71 | 10.95 |
| Adam P. Harrison | 2 | 101 | 17.06 |
| Youjing Zheng | 3 | 0 | 0.68 |
| Ke Yan | 4 | 42 | 9.14 |
| Yuankai Huo | 5 | 96 | 26.45 |
| Jing Xiao | 6 | 7 | 5.78 |
| Lin Yang | 7 | 1291 | 116.88 |
| Le Lu | 8 | 1297 | 86.78 |