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1606.04797
Cited By
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
15 June 2016
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
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Papers citing
"V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation"
50 / 2,423 papers shown
Title
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
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12 Jan 2018
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
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Yingtao Zhang
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Fei Xu
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09 Jan 2018
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Xiaolei Shen
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Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning
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Kunlin Zou
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20 Dec 2017
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Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
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Nikhil Sindhwani
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Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
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Li Wang
Jing Yuan
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Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
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Daniel S. Asfaw
Sergi Valverde
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Robert Martí
Xavier Llado
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Elliot K. Fishman
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M. Oda
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Learning to diagnose from scratch by exploiting dependencies among labels
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Guotai Wang
Wenqi Li
Maria A. Zuluaga
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When is a Convolutional Filter Easy To Learn?
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Cystoid macular edema segmentation of Optical Coherence Tomography images using fully convolutional neural networks and fully connected CRFs
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Cihang Xie
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78
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Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
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Lingxi Xie
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NiftyNet: a deep-learning platform for medical imaging
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100
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Segmentation and Classification of Cine-MR Images Using Fully Convolutional Networks and Handcrafted Features
M. H. Eybposh
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Learning to Segment Breast Biopsy Whole Slide Images
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Medical Image Analysis using Convolutional Neural Networks: A Review
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Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
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Automatic Myocardial Segmentation by Using A Deep Learning Network in Cardiac MRI
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Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
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Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation
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Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images
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2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation
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Liver lesion segmentation informed by joint liver segmentation
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Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks
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Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy
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Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
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Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
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