Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
Purpose Reliable automated segmentation of the prostate is indispensable for image‐
guided prostate interventions. However, the segmentation task is challenging due to …
guided prostate interventions. However, the segmentation task is challenging due to …
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge
Prostate MRI image segmentation has been an area of intense research due to the
increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation …
increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation …
A 3D-2D hybrid U-net convolutional neural network approach to prostate organ segmentation of multiparametric MRI
Please see the Author Video associated with this article. OBJECTIVE. Prostate cancer is the
most commonly diagnosed cancer in men in the United States with more than 200,000 new …
most commonly diagnosed cancer in men in the United States with more than 200,000 new …
Multi-task learning for left atrial segmentation on GE-MRI
Segmentation of the left atrium (LA) is crucial for assessing its anatomy in both pre-operative
atrial fibrillation (AF) ablation planning and post-operative follow-up studies. In this paper …
atrial fibrillation (AF) ablation planning and post-operative follow-up studies. In this paper …
Clinical target segmentation using a novel deep neural network: double attention Res-U-Net
V Ashkani Chenarlogh, A Shabanzadeh… - Scientific Reports, 2022 - nature.com
Abstract We introduced Double Attention Res-U-Net architecture to address medical image
segmentation problem in different medical imaging system. Accurate medical image …
segmentation problem in different medical imaging system. Accurate medical image …
[HTML][HTML] Magnetic resonance-based texture analysis differentiating KRAS mutation status in rectal cancer
JE Oh, MJ Kim, J Lee, BY Hur, B Kim… - … : official journal of …, 2020 - synapse.koreamed.org
Purpose Mutation of the Kirsten Ras (KRAS) oncogene is present in 30%-40% of colorectal
cancers and has prognostic significance in rectal cancer. In this study, we examined the …
cancers and has prognostic significance in rectal cancer. In this study, we examined the …
Prostate MRI segmentation using learned semantic knowledge and graph cuts
D Mahapatra, JM Buhmann - IEEE Transactions on Biomedical …, 2013 - ieeexplore.ieee.org
We propose a fully automated method for prostate segmentation using random forests (RFs)
and graph cuts. A volume of interest (VOI) is automatically selected using supervoxel …
and graph cuts. A volume of interest (VOI) is automatically selected using supervoxel …
Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery
Random forest is a classification technique widely used in remote sensing. One of its
advantages is that it produces an estimation of classification accuracy based on the so …
advantages is that it produces an estimation of classification accuracy based on the so …
Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural networks
T Clark, J Zhang, S Baig, A Wong… - Journal of Medical …, 2017 - spiedigitallibrary.org
Prostate cancer is a leading cause of cancer-related death among men. Multiparametric
magnetic resonance imaging has become an essential part of the diagnostic evaluation of …
magnetic resonance imaging has become an essential part of the diagnostic evaluation of …
Deep learning with limited data: organ segmentation performance by U-Net
(1) Background: The effectiveness of deep learning artificial intelligence depends on data
availability, often requiring large volumes of data to effectively train an algorithm. However …
availability, often requiring large volumes of data to effectively train an algorithm. However …