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Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

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Greatest papers with code

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

ECCV 2018 tensorflow/models

The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling operations at multiple rates and multiple effective fields-of-view, while the latter networks can capture sharper object boundaries by gradually recovering the spatial information.

IMAGE CLASSIFICATION LESION SEGMENTATION SEMANTIC SEGMENTATION

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

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

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images

26 May 2019Kamnitsask/deepmedic

With all three datasets combined, the current system compared to previous methods also attained a reliably higher cross-validation accuracy.

LESION 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

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

21 Sep 2017xmengli999/H-DenseUNet

Our method outperformed other state-of-the-arts on the segmentation results of tumors and achieved very competitive performance for liver segmentation even with a single model.

AUTOMATIC LIVER AND TUMOR SEGMENTATION LESION SEGMENTATION LIVER SEGMENTATION TUMOR SEGMENTATION

Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation

10 Mar 2020rezazad68/BCDU-Net

These blocks adaptively recalibrate the channel-wise feature responses by utilizing a self-gating mechanism of the global information embedding of the feature maps.

LESION SEGMENTATION SEMANTIC SEGMENTATION

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

31 Aug 2019rezazad68/BCDU-Net

To strengthen feature propagation and encourage feature reuse, we use densely connected convolutions in the last convolutional layer of the encoding path.

 Ranked #1 on Lesion Segmentation on ISIC 2018 (F1-Score metric)

LESION SEGMENTATION LUNG NODULE SEGMENTATION SEMANTIC SEGMENTATION