2 citations · 5 across the 4 of their papers we have counts for
4 papers
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN
Susmita Ghosh, Abhiroop Chatterjee
The rapid spread of COVID-19 has necessitated efficient and accurate diagnostic methods. Computed Tomography (CT) scan images have emerged as a valuable tool for detecting the dise…
Introducing Feature Attention Module on Convolutional Neural Network for Diabetic Retinopathy Detection
Susmita Ghosh, Abhiroop Chatterjee
Diabetic retinopathy (DR) is a leading cause of blindness among diabetic patients. Deep learning models have shown promising results in automating the detection of DR. In the prese…
Transfer-Ensemble Learning based Deep Convolutional Neural Networks for Diabetic Retinopathy Classification
Susmita Ghosh, Abhiroop Chatterjee
This article aims to classify diabetic retinopathy (DR) disease into five different classes using an ensemble approach based on two popular pre-trained convolutional neural network…
T-Fusion Net: A Novel Deep Neural Network Augmented with Multiple Localizations based Spatial Attention Mechanisms for Covid-19 Detection
Susmita Ghosh, Abhiroop Chatterjee
In recent years, deep neural networks are yielding better performance in image classification tasks. However, the increasing complexity of datasets and the demand for improved perf…