This study aims at developing a clinically oriented automated diagnostic tool for distinguishing malignant melanocytic lesions from benign melanocytic nevi in diverse image databases.Due to the presence of artifacts, smooth lesion boundaries, and subtlety in diagnostic features, the accuracy of such systems gets hampered.Thus, the proposed framewor
Major depressive disorder is a common and serious mood illness.The molecular mechanisms underlying the pathogenesis and symptomatology of depression are poorly understood at present.Multiple neurotransmitter systems are believed to be implicated in depression.Increasing evidence supports glutamatergic transmission as a critical element in depressio
Currently, Convolutional Neural Networks (CNN) accelerators find application in various digital domains, each highlighting memory utilization as a significant concern leading to system degradation.In response, our present work focuses on optimizing the memory usage of CNN through a strategic approach.The resulting system is coined as the Memory Opt