SEMANTIC IMAGE CLUSTERING WITH GLOBAL AVERAGE POOLED DEEP CONVOLUTIONAL AUTOENCODER

Abstract Deep Clustering learns feature representations in embedded space suitable for clustering. In Deep Convolutional Embedded Clustering (DCEC) algorithm, the last convolution layer feature map of encoder is used to build the embedded space. This considers spatial information retains in the last convolution layer of encoder, which unable to identify the discriminative parts of the […]

AN EFFECTIVE USER INTERFACE IMAGE PROCESSING MODEL FOR CLASSIFICATION OF BRAIN MRI TO PROVIDE PROLIFIC HEALTHCARE

Abstract Today the design and development of computer assisted User Interface Image processing Systems have been very helpful in detecting and diagnosing the underlying diseases in the early stage. Out of many anomalous diseases, Brain Tumor Diagnosis and treatment has been a challenge to medical as well as to research community. If it is detected […]