15 citations · 33 across the 6 of their papers we have counts for
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eess.IV2021★ 2 cited
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
Jie Lian, Jingyu Liu, Shu Zhang +4
Instance level detection and segmentation of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Leveraging on constant structure and dise…
eess.IV2020
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results
Jie Lian, Jingyu Liu, Yizhou Yu +9
The detection of thoracic abnormalities challenge is organized by the Deepwise AI Lab. The challenge is divided into two rounds. In this paper, we present the results of 6 teams wh…
eess.IV2020★ 15 cited
ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities
Jingyu Liu, Jie Lian, Yizhou Yu
Instance level detection of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Most existing works on chest X-rays focus on disease class…