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Medical Image Segmentation

79 papers with code · Medical

Medical image segmentation is the task of segmenting objects of interest in a medical image - for example organs or lesions.

( Image credit: IVD-Net )

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Attention U-Net: Learning Where to Look for the Pancreas

11 Apr 2018ozan-oktay/Attention-Gated-Networks

We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes.

PANCREAS SEGMENTATION SEMANTIC SEGMENTATION

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

20 Feb 2018LeeJunHyun/Image_Segmentation

In this paper, we propose a Recurrent Convolutional Neural Network (RCNN) based on U-Net as well as a Recurrent Residual Convolutional Neural Network (RRCNN) based on U-Net models, which are named RU-Net and R2U-Net respectively.

IMAGE CLASSIFICATION LESION SEGMENTATION LUNG NODULE SEGMENTATION RETINAL VESSEL SEGMENTATION SEMANTIC SEGMENTATION SKIN CANCER SEGMENTATION

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

11 Dec 2019MrGiovanni/UNetPlusPlus

The state-of-the-art models for medical image segmentation are variants of U-Net and fully convolutional networks (FCN).

COMPUTED TOMOGRAPHY (CT) INSTANCE SEGMENTATION MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

18 Jul 2018MrGiovanni/UNetPlusPlus

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

18 Mar 2016Kamnitsask/deepmedic

We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the challenging task of brain lesion segmentation.

3D MEDICAL IMAGING SEGMENTATION BRAIN LESION SEGMENTATION FROM MRI BRAIN TUMOR SEGMENTATION LESION SEGMENTATION

Automated Design of Deep Learning Methods for Biomedical Image Segmentation

17 Apr 2019MIC-DKFZ/nnunet

Biomedical imaging is a driver of scientific discovery and core component of medical care, currently stimulated by the field of deep learning.

MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

15 Jun 2016mattmacy/vnet.pytorch

Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields.

SEMANTIC SEGMENTATION VOLUMETRIC MEDICAL IMAGE SEGMENTATION

Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters

9 Feb 2019justusschock/shapenet

We present a method for highly efficient landmark detection that combines deep convolutional neural networks with well established model-based fitting algorithms.

FACIAL LANDMARK DETECTION MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION