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Robustification of Segmentation Models Against Adversarial Perturbations In Me...
A defense framework for segmentation models against adversarial attacks in medical imaging -
RSNA Pneumonia
The dataset used for training and evaluation of the eCLIP model, consisting of chest X-ray images and corresponding radiology reports. -
Red Blood Cell Classification Dataset
The dataset used in this paper for abnormal red blood cell classification. -
AbdomenCT-1K dataset
The AbdomenCT-1K dataset comprises more than 1000 abdominal CT scans aggregated from 6 existing datasets. -
Vitale et al. Dataset
A dataset of high quality is one of the key factors to train a neural network. Unfortunately, there are few open-source abdominal ultrasound image datasets. -
Abdominal Ultrasound Image Dataset
A dataset of high quality is one of the key factors to train a neural network. Unfortunately, there are few open-source abdominal ultrasound image datasets. -
Progressive growing of GANs
Progressive growing of GANs for improved quality, stability, and variation. -
Stain-transforming cycle-consistent generative adversarial networks
Stain-transforming cycle-consistent generative adversarial networks for improved segmentation of renal histopathology. -
Tienet dataset
A text-image embedding network for common thorax disease classification and reporting in chest x-rays. -
ChestX-ray8 dataset
A hospital-scale chest x-ray database and benchmarks for weakly-supervised classification and localization of common thorax diseases. -
MIMIC-CXR dataset
The MIMIC-CXR dataset is currently the largest radiology imaging dataset available. It comprises a total of 473,057 chest X-ray images and 206,563 associated radiology... -
CheXpert dataset
Chest radiography is a relatively cheap, widely available medical procedure that conveys key information for making diagnostic decisions. Chest X-rays are frequently used in the... -
NIH chest radiography dataset
Replicated the model described in Rajpurkar et al. with fixed hyperparameters and 50 different random seeds to identify 14 findings in chest radiographs. -
Curated Breast Imaging Subset of Digital Database of Screening Mammography (C...
The Curated Breast Imaging Subset of Digital Database of Screening Mammography (CBIS-DDSM) dataset is used for both training and testing of the developed deep learning approach. -
BACH 2018 grand challenge
Breast cancer histology images classification using transfer learning -
Cervical Spine Fracture Detection on Computed Tomography Imaging
A large annotated dataset of cervical spine CT images for fracture detection -
WEB-IT Clinical Trial Dataset
The dataset used in this study was collected during the WEB-IT clinical trial. It consists of 81 cases across 30 different US hospitals that had obtained patient consent for... -
Sheikh Shakhbout Medical City
This dataset has no description
