2 citations · 5 across the 6 of their papers we have counts for
7 papers
Improving Predictive Confidence in Medical Imaging via Online Label Smoothing
Kushan Choudhury, Shubhrodeep Roy, Ankur Chanda +2
Deep learning models, especially convolutional neural networks, have achieved impressive results in medical image classification. However, these models often produce overconfident…
Evaluating Temperature Scaling Calibration Effectiveness for CNNs under Varying Noise Levels in Brain Tumour Detection
Ankur Chanda, Kushan Choudhury, Shubhrodeep Roy +2
Precise confidence estimation in deep learning is vital for high-stakes fields like medical imaging, where overconfident misclassifications can have serious consequences. This work…
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images
Dibyasree Guha, Shyamali Mitra, Somenath Kuiry +1
Quantum neural networks are deemed suitable to replace classical neural networks in their ability to learn and scale up network models using quantum-exclusive phenomena like superp…
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images
Somenath Kuiry, Alaka Das, Mita Nasipuri +1
Deep Learning, particularly Convolutional Neural Networks (CNN), has been successful in computer vision tasks and medical image analysis. However, modern CNNs can be overconfident,…
COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss
Anay Panja, Somenath Kuiry, Alaka Das +2
Since 2019, the global COVID-19 outbreak has emerged as a crucial focus in healthcare research. Although RT-PCR stands as the primary method for COVID-19 detection, its extended de…
Multispectral Object Detection with Deep Learning
Md Osman Gani, Somenath Kuiry, Alaka Das +2
Object detection in natural scenes can be a challenging task. In many real-life situations, the visible spectrum is not suitable for traditional computer vision tasks. Moving outsi…
EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation
Somenath Kuiry, Nibaran Das, Alaka Das +1
In the literature, many fusion techniques are registered for the segmentation of images, but they primarily focus on observed output or belief score or probability score of the out…