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Shengnan Hao, Haotian Wu, Yanyan Jiang, Zhanlin Ji, Li Zhao, Linyun Liu and Ivan Ganchev
Accurate segmentation of lesions can provide strong evidence for early skin cancer diagnosis by doctors, enabling timely treatment of patients and effectively reducing cancer mortality rates. In recent years, some deep learning models have utilized compl...
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Laura Mosca, Francesca Vitiello, Martina Pagano, Alessandra Coppola, Roberta Veglia Tranchese, Roberta Grillo, Giovanna Cacciapuoti and Marina Porcelli
Squamous cell carcinoma of the head and neck (HNSCC), which includes cancers of the oral cavity and larynx, is one of the most common and highly aggressive malignancies worldwide, despite significant efforts committed in recent decades in its detection, ...
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Alireza Ebrahimvandi, Niyousha Hosseinichimeh and Zhenyu James Kong
Preterm birth (PTB) is the leading cause of infant mortality in the U.S. and globally. The goal of this study is to increase understanding of PTB risk factors that are present early in pregnancy by leveraging statistical and machine learning (ML) techniq...
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Mahanazuddin Syed, Shorabuddin Syed, Kevin Sexton, Hafsa Bareen Syeda, Maryam Garza, Meredith Zozus, Farhanuddin Syed, Salma Begum, Abdullah Usama Syed, Joseph Sanford and Fred Prior
Modern Intensive Care Units (ICUs) provide continuous monitoring of critically ill patients susceptible to many complications affecting morbidity and mortality. ICU settings require a high staff-to-patient ratio and generates a sheer volume of data. For ...
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Jorge L. Serras, Susana Vinga and Alexandra M. Carvalho
Outliers are observations suspected of not having been generated by the underlying process of the remaining data. Many applications require a way of identifying interesting or unusual patterns in multivariate time series (MTS), now ubiquitous in many app...
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