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Medical image segmentation is the task of segmenting objects of interest in a medical image - for pancreas

( Image credit: IVD-Net )

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Datasets

Greatest papers with code

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2 Nov 2015osmr/imgclsmob

We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.

CROWD COUNTING LESION SEGMENTATION REAL-TIME SEMANTIC SEGMENTATION SCENE SEGMENTATION SCENE UNDERSTANDING

Segmentation Loss Odyssey

27 May 2020JunMa11/SegLoss

Loss functions are one of the crucial ingredients in deep learning-based medical image segmentation methods.

MEDICAL IMAGE SEGMENTATION SEMANTIC 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

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

11 Apr 2018LeeJunHyun/Image_Segmentation

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

18 Jul 2018MrGiovanni/Nested-UNet

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

Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?

1 Jan 2021JunMa11/SOTA-MedSeg

Segmentation is one of the most important and popular tasks in medical image analysis, which plays a critical role in disease diagnosis, surgical planning, and prognosis evaluation.

MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION