89 citations · 187 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes
Ujjwal Baid, Sarthak Pati, Tahsin M. Kurc +6
We evaluate the performance of federated learning (FL) in developing deep learning models for analysis of digitized tissue sections. A classification application was considered as…
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Huihui Fang, Fei Li, Huazhu Fu +28
Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…
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…
Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet
Nisarg A. Shah, Divij Gupta, Romil Lodaya +2
Colorectal cancer is a leading cause of death worldwide. However, early diagnosis dramatically increases the chances of survival, for which it is crucial to identify the tumor in t…