The Foot Tumor CT Image Dataset (FTCID)

Published: 4 July 2025| Version 1 | DOI: 10.17632/dsf4vmpnv7.1
Contributors:
Hatice Catal Reis, Veysel Turk, Serhat Kaya

Description

This dataset consists of foot and ankle images acquired using multidetector computed tomography (MDCT) with a resolution of 512×512 pixels in JPG format. The images are divided into two classes: tumor absent and tumor present. The dataset contains 134 images of healthy individuals with no tumors and 162 images depicting rare foot and ankle tumor cases.

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Categories

Radiology, Artificial Intelligence, Oncology, Machine Learning, Cancer Diagnosis, Image Analysis (Medical Imaging), Computed Tomography, Medical Image Processing, Deep Learning, Deep Transfer Learning, Data Augmentation

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