FROM CLOUD COMPUTING TO CLOUD LIBRARY: PROPOSING CLOUD MODEL TO CONFIGURE FUTURE LIBRARIES


Diagnosing oral and maxillofacial diseases using deep learning

Abstract The classification and localization of odontogenic lesions from panoramic radiographs is a challenging task due to the positional biases and class imbalances of the lesions.To address these challenges, a novel neural network, DOLNet, is proposed that uses mutually influencing hierarchical attention across different image scales to jointly

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Human iPSC modeling recapitulates in vivo sympathoadrenal development and reveals an aberrant developmental subpopulation in familial neuroblastoma

Summary: Studies defining normal and disrupted human neural crest cell development have been challenging given its early timing and intricacy of development.Consequently, insight into the early disruptive events causing a Youth Bedroom Set neural crest related disease such as pediatric cancer neuroblastoma is limited.To overcome this problem, we de

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