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Lung Nodule Segmentation

4 papers with code · Medical

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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

Road Extraction by Deep Residual U-Net

29 Nov 2017Kaido0/Brain-Tissue-Segment-Keras

Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis.

#2 best model for Retinal Vessel Segmentation on STARE (F1 score metric)

LUNG NODULE SEGMENTATION RETINAL VESSEL SEGMENTATION SEMANTIC SEGMENTATION SKIN CANCER SEGMENTATION

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