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SYSU-FLL-CEUS Dataset

The released SYSU-CEUS dataset contains three types of focal liver lesions (FLL): 186 HCC instances, 109 HEM instances, and 58 FNH instances (i.e., 186 malignant and 167 benign instances). The dataset was collected by the First Affiliated Hospital of Sun Yat-sen University using an Aplio SSA-770A (Toshiba Medical Systems) device. All instances have a resolution of 768 × 576, originate from different patients, and exhibit substantial variation in appearance and enhancement patterns (e.g., size, contrast, shape, and location).

Updated 2/21/2024
github

Description

SYSU-FLL-CEUS Dataset Overview

Dataset Composition

  • Types and Counts: Includes three types of focal liver lesions (FLLs):
    • 186 hepatocellular carcinoma (HCC) instances
    • 109 hemangioma (HEM) instances
    • 58 focal nodular hyperplasia (FNH) instances
    • Total: 186 malignant instances and 167 benign instances

Data Source

  • Collection Site: First Affiliated Hospital, Sun Yat-sen University
  • Equipment: Aplio SSA-770A (Toshiba Medical Systems)

Data Characteristics

  • Resolution: 768 × 576
  • Diversity: Collected from different patients with a wide range of appearance and enhancement patterns (e.g., size, contrast, shape, location)

Dataset Access

Citation Information

  • If using this dataset, please cite the following papers:
    • Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin, "Recognizing focal liver lesions in contrast-enhanced ultrasound with discriminatively trained spatio-temporal model", Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on, 2014.
    • Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, Yongtian Wang, “Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models”. IEEE TRANSACTIONS ON MEDICAL IMAGING (T-MI), 2015.

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Topics

Medical Imaging
Liver Disease

Source

Organization: github

Created: 9/25/2013

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