A multimodal vision foundation model for clinical dermatology
Studies & Findings

A multimodal vision foundation model for clinical dermatology

Ethics statement The MYM study was approved by the Metro South Health Human Research Ethics Committee on 21 April 2016 (approval number: HREC/16/QPAH/125). Ethics approval has also been obtained from the University of Queensland Human Research Ethics Committee (approval number: 2016000554), Queensland University of Technology Human Research Ethics Committee (approval number: 1600000515) and QIMR Berghofer […]

Health Systems

Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model

This article introduces the PACHS-DLBDDM methodology. The proposed methodology focuses mainly on the recognition and classification of LCC. It comprises GF, Faster SqueezeNet, CNN-LSTM, and CTSA techniques for preprocessing, feature vector generation, classification, and hyperparameter tuning processes. Figure 1 depicts the entire flow of the PACHS-DLBDDM technique. Fig. 1 Overall flow of PACHS-DLBDDM methodology. Image preprocessing […]

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