Medical Image Segmentation - Groups

DRIVE

The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.

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ISIC2018

The dataset used for training and testing the DeepMediX model, which consists of brain MRI and skin cancer images.

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Medical Segmentation Decathlon (MSD) - prostate dataset

The Medical Segmentation Decathlon (MSD) - prostate dataset comprises of 48 (training =32, testing =16) multimodal (T2, ADC) 3D MRI samples.

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GMISeg: General Medical Image Segmentation without Re-Training

A general model for medical image segmentation that can solve unknown medical image segmentation tasks without requiring additional training.

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Pancreas tumor dataset

Pancreas tumor dataset is a sub-dataset of the Medical Segmentation Decathlon (MSC) MICCAI 2018 challenge.

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Bladder tumor dataset

Bladder tumor dataset contains 2200 MRI slices from 25 patients with pathologically confirmed bladder cancer.

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Pancreatic-lesion CT

This study employs a diverse range of post-processed, multi-annotated medical image segmentation datasets, which exhibit significant variations in the ground truth, to train and...

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Pancreas

This study employs a diverse range of post-processed, multi-annotated medical image segmentation datasets, which exhibit significant variations in the ground truth, to train and...

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QUBIQ

The QUBIQ dataset is a multi-rater, multi-center, multi-modality dataset that includes both 2D and 3D segmentation tasks. It features various modalities such as MRI and CT;...

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TVUS Dataset

The TVUS dataset is used for evaluating the proposed method.

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Thigh Muscle MRI Dataset

The thigh muscle MRI dataset is a dataset for thigh muscle segmentation from MRI images.

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White Blood Cell Image Dataset

The White Blood Cell Image Dataset is a dataset for white blood cell segmentation.

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REFUGE dataset

The REFUGE dataset is regarded as the source domain and RIM-ONE-r3 and Drishti-GS datasets are treated as target domains.

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Synapse

Medical image segmentation models are mostly hybrid, which integrate self-attention and convolution layers into the non-isomorphic architecture.

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GlaS dataset

The GlaS dataset contains 165 H&E-stained histopathology patches extracted from 16 WSIs.

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2018 Data Science Bowl challenge dataset

The 2018 Data Science Bowl challenge dataset is used for nuclei cell image segmentation.

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Liver Tumor Segmentation

Liver Tumor Segmentation dataset contains images of liver tumors from CT scans. The dataset is used for automatic segmentation of liver tumors.

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Retinal Images vessel Tree Extraction

Retinal Images vessel Tree Extraction dataset contains images of retinal vessels from fundus images. The dataset is used for automatic extraction of retinal vessels.

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Gland Segmentation

Gland Segmentation dataset contains images of glands from microscopic histology slides. The dataset is used for automatic segmentation of glands.

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Brain Anatomy Segmentation from US images

Brain Anatomy Segmentation from US images dataset contains images of brain anatomy from ultrasound scans. The dataset is used for automatic segmentation of brain ventricles and...

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225 datasets found