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Automatic Medical Image Diagnosis: Highlights from the 2021 IEEE 5-Minute Video Clip Contest [SP Competitions]

Thomaz, L. A. ; Faria, S.M.M. ; Távora, L.M. ; Marcenaro, L.

IEEE Signal Processing Magazine Vol. 39, Nº 3, pp. 130 - 134, May, 2022.

ISSN (print): 1053-5888
ISSN (online):

Scimago Journal Ranking: 2,06 (in 2020)

Digital Object Identifier: 10.1109/MSP.2022.3145348

Abstract
The annual IEEE 5-Minute Video Clip Contest (5-MICC) was launched in 2020 by the IEEE Signal Processing Society (SPS), and the selected topic for the competition at IEEE ICIP 2021 was “Automatic Medical Image Diagnosis.” The organizing committee selected three finalist videos and placed them online for public voting. The first one addresses a deep learning system that targets enhancement and disease diagnostic in otoscopy images, the second concerns the use of neural networks for cancer detection in tissue scans, and the third deals with a deep learning tool for automatic COVID-19 diagnosis. Taking the public voting results from more than 1,300 participants into consideration, the panel of judges decided the final rankings of the three videos. This article presents an overview of this virtual edition of the 5-MICC at ICIP 2021, describing the competition setup, the teams, and their approaches.