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Aims to improve the perceptual quality of low-quality medical images
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
LoDoPaB-CT is a dataset of computed tomography images and simulated low-dose measurements. It contains over 40,000 scan slices from around 800 patients selected from the LIDC/IDRI Database. Source: The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods
This dataset is a combination of the following three datasets : figshare, SARTAJ dataset and Br35H This dataset contains 7022 images of human brain MRI images which are classified into 4 classes: glioma - meningioma - no tumor and pituitary.
The Human Protein Atlas contains images of histological sections from normal and cancer tissues obtained by immunohistochemistry. Antibodies are labeled with DAB (3,3'-diaminobenzidine) and the resulting brown staining indicates where an antibody has bound to its corresponding antigen. Check https://www.nature.com/articles/s41592-019-0658-6
SimNICT is the first dataset for training universal non-ideal measurement CT (NICT) enhancement models. The dataset comprises over 10.9 million NICT-ICT image pairs, including low dose CT (LDCT), sparse view CT (SVCT), and limited angle CT (LACT), under varying defect degrees across whole-body regions. Paper: Imaging foundation model for universal enhancement of non-ideal measurement CT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.