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Lesion Segmentation

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

( Image credit: D-UNet )

Papers

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Showing 626–640 of 640 papers

TitleStatusHype
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural NetworksCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
Unsupervised domain adaptation in brain lesion segmentation with adversarial networksCode0
Pyramid Scene Parsing NetworkCode1
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random FieldsCode0
Automated Breast Lesion Segmentation in Ultrasound ImagesCode0
Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)—0
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion SegmentationCode0
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation—0
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning—0
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Interactive Volumetry Of Liver Ablation Zones—0
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Fully Connected Deep Structured Networks—0
Skincure: An Innovative Smart Phone-Based Application To Assist In Melanoma Early Detection And Prevention—0
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