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 […]

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