Study of intracranial haematoma localisation based on improved RetinaNet

Author:

Cheng Junyuan1ORCID,Gao Kai1ORCID,Zhou Lixiang2ORCID

Affiliation:

1. Changchun University of Science and Technology School of Electronic Information Engineering, China

2. The First Hospital of Jilin University Department of Neurosurgery, China

Funder

JDYYZH- 2102044

Publisher

ACM

Reference12 articles.

1. Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

2. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images

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4. Yan K , Wang X , Lu L , DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning[J]. Journal of medical imaging , 2018 , 5(3): 036501. Yan K, Wang X, Lu L, DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning[J]. Journal of medical imaging, 2018, 5(3): 036501.

5. Ren S , He K , Girshick R , Faster r-cnn: Towards real-time object detection with region proposal networks[J]. Advances in neural information processing systems , 2015 , 28. Ren S, He K, Girshick R, Faster r-cnn: Towards real-time object detection with region proposal networks[J]. Advances in neural information processing systems, 2015, 28.

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