Endoscopic ultrasound database of the pancreas

María Jaramillo; Josué Ruano; Martín Gómez; Eduardo Romero M.D.

doi:10.1117/12.2581321

3 November 2020 Endoscopic ultrasound database of the pancreas

María Jaramillo, Josué Ruano, Martín Gómez, Eduardo Romero M.D.

Author Affiliations +

Proceedings Volume 11583, 16th International Symposium on Medical Information Processing and Analysis; 115830G (2020) https://doi.org/10.1117/12.2581321
Event: The 16th International Symposium on Medical Information Processing and Analysis, 2020, Lima, Peru

Abstract

Pancreatic Cancer (PC) is a very aggressive cancer, with a mortality of 0.98 and a 5-year survival rate of 6.7%.^1–3 Endoscopic ultrasonography (EUS) is the imaging modality to early detection of PC. Its reported diagnosis sensitivity for an experienced gastroenterologist ranges from 87 to 100%.^3–5 Computational strategies, as Elastography, have been developed to support mass malignancy diagnosis. However, most studies evaluate their strategies using private datasets, making results incomparable. This work presents an annotated open access database of Endoscopy Ultrasound videos obtained in the Gastroenterology Unit of the Hospital Universitario Nacional de Colombia and the Unidad de Gastroenterolog´ıa y Ecoendoscopia. The dataset consists in a set of 55 cases acquired in B-mode Ultrasound image, composed of 18 cases with pancreatic cancer, 5 cases with pancreatitis, and 32 cases that include healthy pancreas, liver and gallbladder. Cases were confirmed and staged by pathological examination from biopsy samples and manually annotated per each video frame. Additionally, herein it is presented a preprocessing methodology aimed to highlight the useful echo patterns to differentiate pancreatic diseases.

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María Jaramillo, Josué Ruano, Martín Gómez, and Eduardo Romero M.D. "Endoscopic ultrasound database of the pancreas", Proc. SPIE 11583, 16th International Symposium on Medical Information Processing and Analysis, 115830G (3 November 2020); https://doi.org/10.1117/12.2581321

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