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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

Skin Lesion Segmentation using SegNet with Binary Cross-Entropy

International Conference On Artificial Intelligence And Speech Technology (AIST 2019) 2019 hashbanger/Skin_Lesion_Segmentation

In this paper a simple and computationally efficient approach as per the complexity has been presented for Automatic Skin Lesion Segmentation using a Deep Learning architecture called SegNet including some additional specifications for the improvisation of the results.

LESION SEGMENTATION SKIN CANCER SEGMENTATION

FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation

8 Feb 2019MaczekO/AttentionNetworkProject

We propose a novel technique to incorporate attention within convolutional neural networks using feature maps generated by a separate convolutional autoencoder.

LESION SEGMENTATION SEMANTIC SEGMENTATION SKIN CANCER SEGMENTATION