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GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network [article]

Florian Dubost, Gerda Bortsova, Hieab Adams, Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen De Bruijne
2017 arXiv   pre-print
We propose a novel convolutional neural network for lesion detection from weak labels. Only a single, global label per image - the lesion count - is needed for training.  ...  We train a regression network with a fully convolutional architecture combined with a global pooling layer to aggregate the 3D output into a scalar indicating the lesion count.  ...  Conclusion We presented a novel 3D neural network to detect small structures from global image-level labels. Our method combines a fully convolutional architecture with global pooling.  ... 
arXiv:1705.07999v2 fatcat:4hafj4zh4vhvzduceandutrlxa

Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks [article]

Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen de Bruijne
2020 arXiv   pre-print
These attention maps are computed using the last feature maps of a segmentation network optimized only with global image-level labels.  ...  2202 3D scans with point-wise annotations in the center of all lesions in four brain regions.  ...  This work was partly carried out on the Dutch national e-infrastructure with the support of SURF Cooperative.  ... 
arXiv:1906.01891v4 fatcat:xzjplmpj6zamnpuyfk6q2porda

Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks

Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, M.Arfan Ikram, Wiro Niessen, Meike W. Vernooij, Marleen de Bruijne
2020 Medical Image Analysis  
These attention maps are computed using the last feature maps of a segmentation network optimized only with global image-level labels.  ...  2202 3D scans with point-wise annotations in the center of all lesions in four brain regions.  ...  This work was partly carried out on the Dutch national e-infrastructure with the support of SURF Cooperative.  ... 
doi:10.1016/j.media.2020.101767 pmid:32674042 fatcat:oiimvoyq55blpahle3jljynugu

Direct Rating Estimation of Enlarged Perivascular Spaces (EPVS) in Brain MRI Using Deep Neural Network

Ehwa Yang, Venkateswarlu Gonuguntla, Won-Jin Moon, Yeonsil Moon, Hee-Jin Kim, Mina Park, Jae-Hun Kim
2021 Applied Sciences  
The proposed method estimates the EPVS rating directly from the T2-weighted MRI without using either the detection or the segmentation of EVPS.  ...  We formulated the rating of EPVS as a multi-class classification problem. Model performance was evaluated using 96 subjects' T2-weighted MRI data that were collected from two hospitals.  ...  We labeled the EPVS as the score (weak labeling), but for comparison with segmentation networks we must label the EPVS as masks of MRI slices (strong labeling), in which there are 20-50 EVPS (About 50%  ... 
doi:10.3390/app11209398 fatcat:gw5mxhp27ff7lbrpmco545gm3q