5 papers
Towards Fusion of Neural Audio Codec-based Representations with Spectral for Heart Murmur Classification via Bandit-based Cross-Attention Mechanism
Orchid Chetia Phukan, Girish, Mohd Mujtaba Akhtar +5
In this study, we focus on heart murmur classification (HMC) and hypothesize that combining neural audio codec representations (NACRs) such as EnCodec with spectral features (SFs),…
MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification
Santanu Roy, Shweta Singh, Palak Sahu +2
Lung cancer, a severe form of malignant tumor that originates in the tissues of the lungs, can be fatal if not detected in its early stages. It ranks among the top causes of cancer…
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
Santanu Roy, Ashvath Suresh, Palak Sahu +1
This paper proposes a novel pooling-based VGG-Lite model in order to mitigate class imbalance issues in Chest X-Ray (CXR) datasets. Automatic Pneumonia detection from CXR images by…
Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification
Santanu Roy, Ashvath Suresh, Archit Gupta +4
This research proposes a very lightweight model "Fibonacci-Net" along with a novel pooling technique, for automatic brain tumor classification from imbalanced Magnetic Resonance Im…
Edge Attention Module for Object Classification
Santanu Roy, Ashvath Suresh, Archit Gupta
A novel ``edge attention-based Convolutional Neural Network (CNN)'' is proposed in this research for object classification task. With the advent of advanced computing technology, C…