The dataset is a subset of CT scans from the Covid-19-AR dataset from the Cancer Image Archive. The data were converted from the DICOM file format to the NifTI file format for better and easier handling. The converted dataset was created for a tutorial of the bpreg python package. Acknowledgment: The dataset was funded with federal funds from the National Center for Advancing Translational Sciences UL1 TR003107 and the National Cancer Institute, Contract No. 75N91019D00024, Subcontract 20X023F
This is a combined curated dataset of COVID-19 Chest X-ray images obtained by collating 15 publicall...
This the part 1 of our deidentified dataset that used in our article: BCR-Net: A deep learning frame...
Extracted tiles from slide images used for validation of our deep learning recurrence score model. ...
The dataset includes CT images from the APOLLO-5-LSCC study for a tutorial from the Body Part Regres...
The model can be used to estimate the examined body parts from a CT volume. The model was trained o...
The uploaded archive file (tar.gz) contains an example dataset to demonstrate the input data arrange...
The data here are in whole based upon data generated by the TCGA Research Network: http://cancergeno...
Datasets contain CT scans of COVID-19 patients from Faculty hospital of Královké Vinohrady in DICOM ...
COVID CT scan datasets for segmentation and trained model for prediction created by training uNet. T...
We uploaded the CT slices with suspected COVID-19 pneumonia signs marked by radiologists for each pa...
Down sampling of the CT Lymph Node dataset from the TCIA. The files were down sampled to a pixel spa...
The dataset is organized into 3 folders (covid, pneumonia , normal) and metadata.csv which contain c...
This is a dataset that was gotten by integrating the breast cancer(tcga) dataset from the cBioportal...
This record contains the 7768 lung masks manual annotations, implementation code, and pre-trained mo...
This is a combined curated dataset of COVID-19 Chest X-ray images obtained by collating 15 publicall...
This is a combined curated dataset of COVID-19 Chest X-ray images obtained by collating 15 publicall...
This the part 1 of our deidentified dataset that used in our article: BCR-Net: A deep learning frame...
Extracted tiles from slide images used for validation of our deep learning recurrence score model. ...
The dataset includes CT images from the APOLLO-5-LSCC study for a tutorial from the Body Part Regres...
The model can be used to estimate the examined body parts from a CT volume. The model was trained o...
The uploaded archive file (tar.gz) contains an example dataset to demonstrate the input data arrange...
The data here are in whole based upon data generated by the TCGA Research Network: http://cancergeno...
Datasets contain CT scans of COVID-19 patients from Faculty hospital of Královké Vinohrady in DICOM ...
COVID CT scan datasets for segmentation and trained model for prediction created by training uNet. T...
We uploaded the CT slices with suspected COVID-19 pneumonia signs marked by radiologists for each pa...
Down sampling of the CT Lymph Node dataset from the TCIA. The files were down sampled to a pixel spa...
The dataset is organized into 3 folders (covid, pneumonia , normal) and metadata.csv which contain c...
This is a dataset that was gotten by integrating the breast cancer(tcga) dataset from the cBioportal...
This record contains the 7768 lung masks manual annotations, implementation code, and pre-trained mo...
This is a combined curated dataset of COVID-19 Chest X-ray images obtained by collating 15 publicall...
This is a combined curated dataset of COVID-19 Chest X-ray images obtained by collating 15 publicall...
This the part 1 of our deidentified dataset that used in our article: BCR-Net: A deep learning frame...
Extracted tiles from slide images used for validation of our deep learning recurrence score model. ...