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Automated Cardiac Diagnosis Challenge Dataset
Automated cardiac diagnosis challenge dataset contains 100 samples, which we divided into 70 training samples, 10 validation samples, and 20 test samples. -
Synapse Multi-Organ Segmentation Dataset
Medical image segmentation plays a crucial role in advancing healthcare systems for disease diagnosis and treatment planning. The u-shaped architecture, popularly known as... -
MS-UNet: A Novel Transformer-Based U-Shaped Medical Image Segmentation Network
MS-UNet: A novel Transformer-based U-shaped medical image segmentation network called MS-UNet has been proposed. MS-UNet addresses the challenge of capturing semantic... -
FastSAM-3DSlicer
FastSAM-3DSlicer is a 3D Slicer extension for interactive volumetric segmentation of 3D medical images with SAMs. -
Encoder-Decoder with Atrous Separable Convolution
The dataset used in this paper for medical image segmentation, including images from the ISBI-2012 and CVC-ClinicDB datasets. -
MultiresUNet
The dataset used in this paper for medical image segmentation, including images from the ISBI-2012, CVC-ClinicDB, ISIC-2018, and DRIVE datasets. -
CVC-ClinicDB
The CVC-ClinicDB dataset is a collection of 612 images, each with a resolution of 384x288, used for polyp diagnosis within colonoscopy videos. -
Hippocampus
Medical image segmentation dataset for hippocampus images -
Medical Segmentation Decathlon (MSD) dataset
The Medical Segmentation Decathlon (MSD) dataset contains 282 CT scans in portal venous phase, all of which are pathological cases with pancreas and tumor annotation. -
BraTS21 dataset
The BraTS21 dataset consists of 1251 brain MRI scans of four different weightings (T1, T1-CE, T2, FLAIR). -
SynthRAD dataset
Medical image segmentation dataset used for pre-training and fine-tuning the SwinFUSE model.