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Pavan Reddy

kpkreddy

  •  India
  •  IISc, India
  •  Elecrical
Statistics
  • Member for 5 years
  • 7 challenge submissions
  • 11 algorithms run

Activity Overview

VerSe2019 Logo
VerSe`19
Challenge User

Vertebrae labelling and segmentation on a spine dataset on an unprecedented 150 CT scans with voxel-level vertebral annotations.

COVID-CT Logo
CT diagnosis of COVID-19
Challenge User

Coronavirus disease 2019 (COVID-19) has infected more than 1.3 million individuals all over the world and caused more than 106,000 deaths. One major hurdle in controlling the spreading of this disease is the inefficiency and shortage of medical tests. To mitigate the inefficiency and shortage of existing tests for COVID-19, we propose this competition to encourage the development of effective Deep Learning techniques to diagnose COVID-19 based on CT images. The problem we want to solve is to classify each CT image into positive COVID-19 (the image has clinical findings of COVID-19) or negative COVID-19 ( the image does not have clinical findings of COVID-19). It’s a binary classification problem based on CT images.

CL-Detection2023 Logo
CL-Detection 2023
Challenge User

Cephalometric landmark detection in lateral x-ray images