3D-EUS-PAF: A 3D Endoanal Ultrasound Image Dataset for Assessment of Perianal Fistulas and Abscesses

Published: 24 June 2026| Version 2 | DOI: 10.17632/vy5wv4t3zt.2
Contributors:
,
, Elahe Alimadadi,

Description

3D-EUS-PAF dataset includes 160 Three-dimensional endoanal ultrasound images related to 34 patients. This dataset can be used by artificial intelligence (machine learning and deep learning algorithms) for diagnosis, classification, localization and segmentation of 7 classes that are available in the dataset: 1- Intersphincteric Fistula 2- Intersphincteric Abscess 3- Transsphincteric Fistula 4- Suprasphincteric Fistula 5- Perianal Fistula 6- Ischiorectal Abscess 7- Supralevator Abscess It also can be used for training medical students, interns, residents, specialists, and fellowships (Colorectal surgery). 3D-EUS-PAF is gathered and organized by a team including a professor of gastroenterology, an associate professor of colorectal surgery, a 3D-EUS specialist and a PhD, AI/ML Data scientist.

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Categories

Gastroenterology, Medical Imaging, Colorectal Medicine, Machine Learning, Endoscope, Ultrasound, Image Classification, Colorectal Surgery, Medical Ultrasound, Fistula, Medical Image Processing, Deep Learning, Abscess

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Dataset
https://databiox.com
is related to this dataset

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