most citedWeak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset

2 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 2 cited

Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs

Junya Sato, Yuki Suzuki, Tomohiro Wataya +5

Large numbers of labeled medical images are essential for the accurate detection of anomalies, but manual annotation is labor-intensive and time-consuming. Self-supervised learning…

eess.IV2020★ 2 cited

Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset

Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro +2

Computer-aided diagnosis system for diffuse lung diseases (DLDs) is necessary for the objective assessment of the lung diseases. In this paper, we develop semantic segmentation mod…