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Article
Open AccessA deep learning methodology for improved breast cancer diagnosis using multiparametric MRI
Multiparametric magnetic resonance imaging (mpMRI) has been shown to improve radiologists’ performance in the clinical diagnosis of breast cancer. This machine learning study develops a deep transfer learning ...
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Chapter and Conference Paper
Feedforward Deep Neural Network-Based Model for the Forecast of Severe Convective Wind
In this study, we compared and analyzed the environmental characteristics in Shaanxi between 2016–2018 (before and after the occurrence of convective wind) based on both severe and non-severe wind samples extr...
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Chapter and Conference Paper
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration
Multimodal video-audio-text understanding and generation can benefit from datasets that are narrow but rich. The narrowness allows bite-sized challenges that the research community can make progress on. The ri...
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Article
Open AccessAdvanced polymer hydrogels that promote diabetic ulcer healing: mechanisms, classifications, and medical applications
Diabetic ulcers (DUs) are one of the most serious complications of diabetes mellitus. The application of a functional dressing is a crucial step in DU treatment and is associated with the patient's recovery an...
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Article
Open AccessDevelopment and validation of a deep learning-based microsatellite instability predictor from prostate cancer whole-slide images
Microsatellite instability-high (MSI-H) is a tumor-agnostic biomarker for immune checkpoint inhibitor therapy. However, MSI status is not routinely tested in prostate cancer, in part due to low prevalence and ...
