Learn More
Segmentation of anatomical structures in medical images is often based on a voxel/pixel classification approach. Deep learning systems, such as convolutional neural networks (CNNs), can infer a hierarchical representation of images that fosters categorization. We propose a novel system for voxel classification integrating three 2D CNNs, which have a(More)
With continuous advancement of VLSI technology it has become possible to achieve any desired performance metric, but at a cost of increased system complexity. In this paper we present area optimal integer 2-D DCT architecture for H.264/AVC codecs. The 2-D DCT calculation is performed by utilizing the separability property, in such a way, 2-D DCT is divided(More)
This paper presents the design of the area optimized integer Two Dimensional Discrete Cosine Transform (2-D DCT) used in H.264/AVC codecs. The 2-D DCT calculation is performed by utilizing the separability property, in such a way that 2-D DCT is divided into two 1-D DCT calculation that are joined through a common memory. Due to its area optimized approach,(More)
  • 1