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Article
Open AccessAuthor Correction: Analysis of BRCA1/2 variants of unknown significance in the prospective Korean Hereditary Breast Cancer study
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Article
Open AccessAnalysis of BRCA1/2 variants of unknown significance in the prospective Korean Hereditary Breast Cancer study
Genetic testing for BRCA1 and BRCA2 is crucial in diagnosing hereditary breast and ovarian cancer syndromes and has increased with the development of multigene panel tests. However, results classified as variants...
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Article
Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals
Performance of deep learning–based automated detection (DLAD) algorithms in systematic screening for active pulmonary tuberculosis is unknown. We aimed to validate DLAD algorithm for detection of active pulmon...
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Chapter and Conference Paper
Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks
We introduce an accurate lung segmentation model for chest radiographs based on deep convolutional neural networks. Our model is based on atrous convolutional layers to increase the field-of-view of filters ef...
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Chapter and Conference Paper
A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology
We present a unified framework to predict tumor proliferation scores from breast histopathology whole slide images. Our system offers a fully automated solution to predicting both a molecular data-based, and a...
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Chapter and Conference Paper
Pixel-Level Domain Transfer
We present an image-conditional image generation model. The model transfers an input domain to a target domain in semantic level, and generates the target image in pixel level. To generate realistic target ima...
