4 papers
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation
Ammu R, Neelam Sinha
Automatic image segmentation is a critical component of medical image analysis, and hence quantifying segmentation performance is crucial. Challenges in medical image segmentation…
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks
Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha
Success of deep neural networks in diverse tasks across domains of computer vision, speech recognition and natural language processing, has necessitated understanding the dynamics…
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks
Sunil Kumar Vengalil, Neelam Sinha
Deep neural networks have become the default choice for many applications like image and video recognition, segmentation and other image and video related tasks.However, a critical…
Cognitive state classification using transformed fMRI data
Hariharan Ramasangu, Neelam Sinha
One approach, for understanding human brain functioning, is to analyze the changes in the brain while performing cognitive tasks. Towards this, Functional Magnetic Resonance (fMR)…