STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation

STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation

Acquisition of high quality manual annotations is vital for the development of segmentation algorithms. However, to create them we require a substantial amount of expert time and knowledge. Large numbers of labels are required to train convolutional neural networks due to the vast number of paramete...

書誌詳細
主要な著者:	Dinsdale, NK, Jenkinson, M, Namburete, AIL
フォーマット:	Journal article
言語:	English
出版事項:	Elsevier 2022

類似資料

Unlearning scanner bias for MRI harmonisation in medical image segmentation
著者:: Dinsdale, NK, 等
出版事項: (2020)

Anatomically plausible segmentations: explicitly preserving topology through prior deformations
著者:: Wyburd, MK, 等
出版事項: (2024)

TEDS-Net: enforcing diffeomorphisms in spatial transformers to guarantee topology preservation in segmentations
著者:: Wyburd, MK, 等
出版事項: (2021)

Unlearning scanner bias for MRI harmonisation
著者:: Dinsdale, NK, 等
出版事項: (2020)

SFHarmony: source free domain adaptation for distributed neuroimaging analysis
著者:: Dinsdale, NK, 等
出版事項: (2024)

Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal.
著者:: Dinsdale, NK, 等
出版事項: (2020)

Challenges for machine learning in clinical translation of big data imaging studies
著者:: Dinsdale, NK, 等
出版事項: (2022)

Prototype learning for explainable brain age prediction
著者:: Hesse, LS, 等
出版事項: (2024)

Spatial warping network for 3D segmentation of the hippocampus in MR images
著者:: Dinsdale, N, 等
出版事項: (2019)

Cortical plate segmentation using CNNs in 3D fetal ultrasound
著者:: Wyburd, MK, 等
出版事項: (2020)

Learning patterns of the ageing brain in MRI using deep convolutional networks
著者:: Dinsdale, NK, 等
出版事項: (2020)

Omni-supervised domain adversarial training for white matter hyperintensity segmentation in the UK Biobank
著者:: Sundaresan, V, 等
出版事項: (2022)

FedHarmony: unlearning scanner bias with distributed data
著者:: Dinsdale, N, 等
出版事項: (2022)

Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images
著者:: Sundaresan, V, 等
出版事項: (2021)

The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects
著者:: Balboni, E, 等
出版事項: (2022)

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
著者:: Hesse, LS, 等
出版事項: (2022)

Multi-task CNN for structural semantic segmentation in 3D fetal brain ultrasound
著者:: Venturini, L, 等
出版事項: (2020)

Computational methods for quantifying in vivo muscle fascicle curvature from ultrasound images
著者:: Namburete, AIL, 等
出版事項: (2011)

Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
著者:: Nicola K. Dinsdale, 等
出版事項: (2021-03-01)

Self-supervised ultrasound to MRI fetal brain image synthesis
著者:: Jiao, J, 等
出版事項: (2020)

Anatomy-aware self-supervised fetal MRI synthesis from unpaired ultrasound images
著者:: Jiao, J, 等
出版事項: (2019)

Is your style transfer doing anything useful? an investigation into hippocampus segmentation and the role of preprocessing
著者:: Kalabizadeh, H, 等
出版事項: (2024)

Uncertainty estimates as data selection criteria to boost omni-supervised learning
著者:: Venturini, L, 等
出版事項: (2020)

CAP : Context-aware Pruning for semantic segmentation
著者:: He, Wei, 等
出版事項: (2021)

Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
著者:: Wyburd, MK, 等
出版事項: (2021)

PruneFaceDet: Pruning lightweight face detection network by sparsity training
著者:: Nanfei Jiang, 等
出版事項: (2022-12-01)

loss for low-contrast medical image segmentation
著者:: Yu Zhao, 等
出版事項: (2024-01-01)

Safety in Hospital Medication Administration Applying STAMP Processes
著者:: Baker, Elizabeth White
出版事項: (2022)

Weight pruning-UNet: Weight pruning UNet with depth-wise separable convolutions for semantic segmentation of kidney tumors
著者:: Patike Kiran Rao, 等
出版事項: (2022-01-01)

Compact Image-Style Transfer: Channel Pruning on the Single Training of a Network
著者:: Minseong Kim, 等
出版事項: (2022-11-01)

Simultaneous Kidney Transplantation and Abdominoplasty in a Prune-Belly Syndrome Patient
著者:: André Barcelos da Silva, 等
出版事項: (2023-09-01)

BASIC stamp /
著者:: Kuhnel, Claus, 1951-, 等
出版事項: (2000)

Learning to map 2D ultrasound images into 3D space with minimal human annotation
著者:: Yeung, P-H, 等
出版事項: (2021)

Optimising convolutional neural networks for large-scale neuroimaging studies
著者:: Dinsdale, NK
出版事項: (2021)

SinGAN-Seg: Synthetic training data generation for medical image segmentation
著者:: Vajira Thambawita, 等
出版事項: (2022-01-01)

SinGAN-Seg: Synthetic training data generation for medical image segmentation.
著者:: Vajira Thambawita, 等
出版事項: (2022-01-01)

Training and Pruning Florida Peaches, Nectarines, and Plums
著者:: Ali Sarkhosh, 等
出版事項: (2018-09-01)

Training and Pruning Florida Peaches, Nectarines, and Plums
著者:: James Ferguson
出版事項: (2007-08-01)

Training and Pruning Florida Peaches, Nectarines, and Plums
著者:: Ali Sarkhosh, 等
出版事項: (2018-09-01)

Training and Pruning Florida Peaches, Nectarines, and Plums
著者:: James Ferguson
出版事項: (2007-08-01)