PAIP 2021 Challenge: Perineural Invasion in Multiple Organ Cancer (Colon, Prostate and Pancreatobiliary tract)

  • Validation submission re-opened! (08, Mar. '22)

📚 About

  • PAIP 2021 Challenge aims at the development of Medical AI technology.
  • Task: Detection of perineural invasion in multiple organ cancer
  • Carefully selected whole slide images (Total 240 WSIs) of Colon, Prostate and Pancreas  which were manually annotated by expert pathologists will be provided according to the schedules below. 

✔ Schedule

  • 4/12 ----- Challenge start
  • 4/26 ----- Evaluation metrics & submission rules for validation phase
  • 6/14 ----- Validation submission start at KST 10:00 (GMT + 9:00)
  • 7/07 ----- End of submission at KST 16:00 (GMT + 9:00)
  • 7/12 ----- Test Data release & submission start at KST 10:00 (GMT + 9:00)
  • 7/26 ----- End of submission at KST 16:00 (GMT + 9:00)
  • 10/01 --- Challenge Workshop

  How to participate

1. Read the challenge rules carefully.
2. Sign up for a Grand Challenge account.
3. Join the PAIP 2021 Challenge. (Click the join button.)
6. Submit your result with an abstract.
*If you have any questions, please contact us at paip.challenge@gmail.com. ***

 Aims

PAIP 2021 challenge aims to promote the development of a common algorithm for automatic detection of perineural invasion in resected specimens of multi-organ cancers. PAIP 2021 challenge will have a technical impact in the following fields: detection of composite targets (nerve and tumor) and common modeling for target images in multiple backgrounds. This challenge will provide a good opportunity to overcome the limitations of current disease-organ-specific modeling and develop a technological approach to the universality of histology in multiple organs.

Motivation

 References

1. Cuadrado-Godia, Elisa, et al. "Cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and  machine learning strategies." Journal of stroke 20.3 (2018): 302.    2. del C. Valdés Hernández, Maria, et al. "Towards the automatic computational assessment of enlarged perivascular  spaces on brain magnetic resonance images: a systematic review." Journal of Magnetic Resonance Imaging 38.4  (2013): 774-785.    3. Tillin T, Forouhi NG, McKeigue PM, Chatuverdi N for the S group, Chaturvedi N. Southall And Brent REvisited: cohort profile of SABRE, a UK population-based comparison of cardiovascular disease and diabetes in people of  European, Indian Asian and African Caribbean origins. Int J Epidemiol 2012; 41: 33–42.
4.  Sudre CH, Smith L, Atkinson D, Chaturvedi N, Ourselin S, Barkhof F, et al. Cardiovascular Risk Factors and White  Matter Hyperintensities: Difference in Susceptibility in South Asians Compared With Europeans. J Am Heart Assoc  2018; 7

 Organizers

                  

   

      This research project is funded by      the Ministry of Health and Welfare, Republic of Korea.

PAIP platform

PAIP provides more high-quality pathologic slide images of six tumor types as well as region-of-interest annotations developed by pathology experts. Please find this website http://wisepaip.org.