Medical Imaging - Groups

Prostate-Diagnosis and PROSTATEx dataset

Prostate-Diagnosis and PROSTATEx dataset are used in this work. These datasets are publicly available on Cancer Imaging Archive.

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Lung Image Database Consortium image collection (LIDC-IDRI)

The Lung Image Database Consortium image collection (LIDC-IDRI) is a dataset of chest CT scans with annotated lung nodules.

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Kidney Tumor Segmentation Dataset

The dataset is used for kidney tumor segmentation from CT volumes.

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Fully Automatic Liver Attenuation Estimation combining CNN Segmentation and M...

The ALARM method is a fully automated liver attenuation estimation method that combines deep convolutional neural network (DCNN) and morphological operations.

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MIMIC and CheXpert datasets

The MIMIC and CheXpert datasets are used to analyze and remove protected feature effects in chest radiograph embeddings of deep learning models.

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MNIST and MIMIC-CXR-JPG datasets

The MNIST dataset is a large dataset of handwritten digits, and the MIMIC-CXR-JPG dataset is a large dataset of chest x-ray images.

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Dermatology

The Dermatology dataset consists of 34 features and 358 instances classifying the type of erythematous-squamous disease into six classes.

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Rads-VinDr-CXR

The Rads-VinDr-CXR dataset is a sub-dataset of VinDr-CXR, annotated by three radiologists (R8, R9, R10).

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MIMIC-CXR-JPG dataset

The MIMIC-CXR-JPG dataset is a large publicly available database of labeled chest radiographs.

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Arrhythmia dataset

The dataset used in this paper is a real-world arrhythmia dataset for evaluating the resilience of linear classification algorithms under training data attacks.

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Heart Disease

The dataset used in the paper is a real-world dataset for outlier explanation. The dataset is used to evaluate the performance of the proposed methods.

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Organ-MNIST

A dataset for active semi-supervised learning for class imbalanced datasets

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Path-MNIST

A dataset for active semi-supervised learning for class imbalanced datasets

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COVID-19 Diagnosis Dataset

The dataset used in this paper for COVID-19 diagnosis from community acquired pneumonia (CAP) in chest computed tomography (CT) images.

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Segmentation labels and radiomic features for the pre-operative scans of the ...

The dataset contains pre-operative scans of the TCGA-LGG collection.

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Head and Neck CT Dataset

A large head and neck CT dataset with 699 images from different patients with head and neck cancers, which were scanned during September 2015 and October 2019.