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most citedMultiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation

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eess.IV2024★ 1 cited

Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation

Sahaj K. Mistry, Sourav Saini, Aashray Gupta +5

Brain tumor segmentation plays a crucial role in computer-aided diagnosis. This study introduces a novel segmentation algorithm utilizing a modified nnU-Net architecture. Within th…

eess.IV2021

Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning

Shubham Chaudhary, Sadbhawna, Vinit Jakhetiya +3

We propose a two-stage Convolutional Neural Network (CNN) based classification framework for detecting COVID-19 and Community-Acquired Pneumonia (CAP) using the chest Computed Tomo…