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LUNA dataset
The LUNA dataset is a public benchmark widely used for direct comparison between various methods proposed in the literature. -
A Dataset for Breast Cancer Histopathological Image Classification
A dataset for breast cancer histopathological image classification -
Breast Cancer Detection using Histopathological Images
Breast cancer detection using histopathological images -
Multimodal CT image-report dataset
The dataset contains organ-level vision-text pairs from 17,702 patients across 104 organs. -
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans
Medical Vision-Language Pretraining (Med-VLP) establishes a connection between visual content from medical images and the relevant textual descriptions. Existing Med-VLP methods... -
Total Marrow and Lymph Node Irradiation (TMLI) PTV Segmentation Dataset
The dataset used for the segmentation of the Planning Target Volume (PTV) in Total Marrow and Lymph Node Irradiation (TMLI) treatment. -
Deep segmentation networks predict survival of non-small cell lung cancer
PET-CT images of NSCLC patients who received SBRT at the University of Iowa Hospitals and Clinics were investigated in this study. -
2019 MICCAI PAIP Challenge
The dataset used in this research comes from the 2019 MICCAI PAIP Challenge. The original dataset contains 50 WSIs and ground truths for training, 10 WSIs and ground truths for... -
RSNA Pneumonia
The dataset used for training and evaluation of the eCLIP model, consisting of chest X-ray images and corresponding radiology reports. -
CT slice dataset
The dataset used in this paper is a CT slice dataset, which comprises a collection of 53,500 CT images obtained from 74 different patients, encompassing 43 males and 31 females. -
Segmentation of breast cancers on MRI
A large dataset of breast MRI scans for segmentation of breast cancers -
Contrast Enhanced CT Phase Classification
Computed Tomography (CT) dataset for contrast phase classification -
Red Blood Cell Classification Dataset
The dataset used in this paper for abnormal red blood cell classification. -
Radiation Oncology Segment Anything Model (SAM) Dataset
The dataset used in this study for evaluating the performance of the Segment Anything Model (SAM) in clinical radiotherapy. -
Brain Metastasis and Various Disease Dataset
A non-longitudinal, heterogeneous 1.5T/3.0T MRI dataset of 190×224/216×256/256×256/460×460 T1c brain axial MRI slices for detecting brain metastases/various diseases. -
CERMEP-IDB-MRXFDG dataset
The CERMEP-IDB-MRXFDG dataset is a public repository of human brain MR and CT images. -
Breast Histopathology Images
The Breast Histopathology Images dataset is used for the diagnosis of Invasive Ductal Carcinoma (IDC) in breast cancer histopathology images.
