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Diabetic Retinopathy Dataset

The dataset used in this paper is not explicitly described. However, it is mentioned that the authors used a dataset for medical image classification, specifically for diabetic...

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DeepLesion

The DeepLesion dataset is a large-scale dataset containing measurements and 2D bounding-boxes of over 32K lesions from a variety of body parts on computed tomography (CT) images.

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TCGA-LIHC

Abdominal MRI dataset used for motion correction

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Small dataset of Common Imaging Signs of Lung diseases (CISLs)

The dataset used in this paper is a small dataset of Common Imaging Signs of Lung diseases (CISLs) with 696 samples.

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LISS database of Common Imaging Signs of Lung diseases (CISLs)

The LISS database of Common Imaging Signs of Lung diseases (CISLs) contains 9 types of CISLs, including Ground Glass Opacity (GGO), lobulation, calciﬁcation, Cavity &...

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CHASE_DB1

The CHASE_DB1 dataset is a publicly available dataset for retinal vessel segmentation.

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HAM10000

The dataset used in the paper is HAM10000, which is a dermoscopic image classification dataset. It contains 10,015 dermoscopic images categorized into 7 lesion types.

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HARP

HARP dataset used for validation

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CC-359

CC-359 dataset used for validation

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E2D Hippocampus Segmentation

Hippocampus segmentation dataset used in the paper

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MRI-CT dataset

MRI dataset consisting of 302 unlabeled volumes and CT dataset consisting of 613 unlabeled and 20 labeled volumes.

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Cardiac Atlas database

Cardiac Atlas database containing short-axis cine MRI images of 100 patients with coronary artery disease and prior myocardial infarction.

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VinDr-CXR

Chest X-ray dataset for abnormality localization in heterogeneous data with cross-domain self-supervised learning

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BarlowTwins-CXR

Chest X-ray dataset for abnormality localization in heterogeneous data with cross-domain self-supervised learning

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Lung Segmentation in Chest Radiographs

The dataset contains chest radiographs with annotated lung segments.

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COVID-19 Segmentation from CT Images

The dataset used for COVID-19 segmentation from CT images, using deep learning and imaging for delineating COVID-19 infection in lungs.

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Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images

80 CT-scans and related label data found in various public sources were considered for training and testing of U-Net architectures.

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NYU Breast Cancer Screening Dataset

The NYU Breast Cancer Screening Dataset contains high-resolution screening mammography with small lesions, serving as a representative dataset for the characteristics of medical...

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Pneumonia Detection dataset

The Pneumonia Detection dataset contains a collection of medical images of patients with and without pneumonia.

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MIMIC-III

MIMIC-III is a large, publicly available clinical database containing information from the Medical Information Mart for Intensive Care III. It is used for various clinical...

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700 datasets found