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06/10/2020
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation
Deep neural network (DNN) based approaches have been widely investigated...
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10/04/2019
NeurReg: Neural Registration and Its Application to Image Segmentation
Registration is a fundamental task in medical image analysis which can b...
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10/02/2019
Weakly supervised segmentation from extreme points
Annotation of medical images has been a major bottleneck for the develop...
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10/02/2019
Privacy-preserving Federated Brain Tumour Segmentation
Due to medical data privacy regulations, it is often infeasible to colle...
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07/08/2019
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network
Radiogenomic map linking image features and gene expression profiles is ...
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03/19/2019
Interactive segmentation of medical images through fully convolutional neural networks
Image segmentation plays an essential role in medicine for both diagnost...
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03/02/2019
Straight to the point: reinforcement learning for user guidance in ultrasound
Point of care ultrasound (POCUS) consists in the use of ultrasound imagi...
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06/04/2018
CFCM: Segmentation via Coarse to Fine Context Memory
Recent neural-network-based architectures for image segmentation make ex...
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03/19/2018
TOMAAT: volumetric medical image analysis as a cloud service
Deep learning has been recently applied to a multitude of computer visio...
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08/26/2016
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields
Intestinal enteroendocrine cells secrete hormones that are vital for the...
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06/15/2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Convolutional Neural Networks (CNNs) have been recently employed to solv...
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01/26/2016
