In this challenge, you will develop models for detecting PCa on images of prostate tissue samples, and estimate severity of the disease.

Prostate cancer diagnosis using the Gleason grading system.

Your challenge in this competition is to classify the severity of prostate cancer from microscopy scans of prostate biopsy samples.

13 янв. 2022 г. · AI algorithms have shown promise for grading prostate cancer, specifically in prostatectomy samples and biopsies, and by assisting pathologists ...

13 янв. 2022 г. · Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies.

The PANDA dataset is currently available from the Kaggle website: https://www.kaggle.com/c/prostate-cancer-grade-assessment/data

24 янв. 2022 г. · Through such a community-driven competition, the PANDA challenge provides a curated diverse dataset and a catalogue of models for prostate ...

The challenge in this Kaggle competition is to classify the severity of prostate cancer (Gleason Scores/ISUP Grades) from microscopy scans of prostate ...

9 авг. 2022 г. · In urology, this impact will mainly be on accurate diagnosis, prediction of outcomes, treatment planning, and evaluation of surgical skills. The ...

Therefore, developing large and well-annotated datasets using ML will aid in prostate cancer grading. The PANDA challenge is one such effort in this direction.