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Lung Nodule Segmentation

7 papers with code · Medical

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Lung nodule segmentation via level set machine learning

8 Oct 2019notmatthancock/level-set-machine-learning

Approach: We introduce an extension of the standard level set image segmentation method where the velocity function is learned from data via machine learning regression methods, rather than a priori designed.

LUNG NODULE SEGMENTATION SEMANTIC SEGMENTATION

3
08 Oct 2019

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.

LESION SEGMENTATION LUNG NODULE SEGMENTATION SEMANTIC SEGMENTATION

157
31 Aug 2019

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

19 Aug 2019MrGiovanni/ModelsGenesis

More importantly, learning a model from scratch simply in 3D may not necessarily yield performance better than transfer learning from ImageNet in 2D, but our Models Genesis consistently top any 2D approaches including fine-tuning the models pre-trained from ImageNet as well as fine-tuning the 2D versions of our Models Genesis, confirming the importance of 3D anatomical information and significance of our Models Genesis for 3D medical imaging.

BRAIN TUMOR SEGMENTATION LIVER SEGMENTATION LUNG NODULE DETECTION LUNG NODULE SEGMENTATION PULMONARY EMBOLISM DETECTION SELF-SUPERVISED LEARNING TRANSFER LEARNING

264
19 Aug 2019

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network

30 Nov 2018gmaresta/iW-Net

We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images.

INTERACTIVE SEGMENTATION LUNG NODULE SEGMENTATION

10
30 Nov 2018

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

881
20 Feb 2018