2021 IEEE ICASSP Signal Processing grand Challenge (SPGC) on COVID-19

2021 IEEE ICASSP Signal Processing grand Challenge (SPGC) on COVID-19

Welcome to the IEEE ICASSP 2021 Signal Processing Grand Challenge(SPGC) on COVID-19.

About IEEE ICASSP 2021 Signal Processing Grand Challenge (SPGC) on COVID-19

Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 countries around the world affecting millions and claiming more than 1.5 million human lives, since its first emergence in late 2019. This highly contagious disease can easily spread, and if not controlled in a timely fashion, can rapidly incapacitate healthcare systems.

The main objective of the 2021 IEEE SPGC-COVID is development of fully automated frameworks to identify/classify COVID-19 infections using only volumetric chest CT scans. The introduced SPGC-COVID dataset is a large dataset of COVID-19, CAP, and normal cases acquired with various imaging settings from different medical centers. The challenge is to design advanced and robust learning models to classify the given CT scans into three classes of COVID-19, CAP, and normal cases. Developed learning models need to perform accurately and robustly over such heterogeneous set of CT scans, which include images with different slice thickness, radiation dose, and noise level. In addition to acquisition and visual variations of CT scans, the SPGC-COVID dataset consists of CT scans that, beside COVID-19 infections, include manifestations related to hearth problems/operations.

Any team can participate in the competition, should complete their submission by March 1st, 2021. The five best teams are selected and announced by May 25th, 2021. Three finalist teams will be judged at IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021, which will be held June 6-12, 2021, Toronto, Canada. In addition to algorithmic performances, demonstration and presentation performances will also affect the final ranking.

IEEE ICAS 2021IEEE International Conference on Autonomous Systems (ICAS)

On behalf of the IEEE Signal Processing Society (SPS) and IEEE SPS Autonomous Systems Initiative (ASI), the organizing committee is delighted to invite you to the IEEE International Conference on Autonomous Systems (ICAS 2021), to be held in Montréal, Québec, Canada between August 11 and August 13, 2021. The IEEE ICAS 2021 will be a premier international forum for presenting the technological advances and research results in the fields of theoretical, experimental, and applied Autonomous Systems (AS).

Whatare Important Dates?

December 10th, 2020: Release Date of the Train and Validation Datasets.

February 15th, 2021: Release Date of the Test Datasets.

March 1st, 2021: Results Submission: .

Howto participate?

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