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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 601–640 of 640 papers

TitleStatusHype
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation—0
Liver lesion segmentation informed by joint liver segmentation—0
Tversky loss function for image segmentation using 3D fully convolutional deep networksCode0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
Semi-Supervised Deep Learning for Fully Convolutional NetworksCode0
Global and Local Information Based Deep Network for Skin Lesion Segmentation—0
Skin lesion segmentation based on preprocessing, thresholding and neural networks—0
Automatic skin lesion segmentation with fully convolutional-deconvolutional networksCode0
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners—0
RECOD Titans at ISIC Challenge 2017Code0
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
Segmenting Dermoscopic Images—0
LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network—0
Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge—0
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification—0
Skin Lesion Analysis Towards Melanoma Detection Using Deep Learning Network—0
Skin cancer reorganization and classification with deep neural network—0
ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection—0
Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic ImagesCode0
II-FCN for skin lesion analysis towards melanoma detection—0
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques—0
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation—0
k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge—0
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networksCode0
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
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
Interactive Volumetry Of Liver Ablation Zones—0
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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