Home
Journals
Archaeology International
Architecture_MPS
Europe and the World: A law review
Film Education Journal
History Education Research Journal
International Journal of Development Education and Global Learning
International Journal of Social Pedagogy
Jewish Historical Studies: A Journal of English-Speaking Jewry
Journal of Bentham Studies
London Review of Education
Radical Americas
Research for All
The Journal of the Sylvia Townsend Warner Society
The London Journal of Canadian Studies
About
About UCL Press
Who we are
Contact us
My ScienceOpen
Sign in
Register
Dashboard
Search
Home
Journals
Archaeology International
Architecture_MPS
Europe and the World: A law review
Film Education Journal
History Education Research Journal
International Journal of Development Education and Global Learning
International Journal of Social Pedagogy
Jewish Historical Studies: A Journal of English-Speaking Jewry
Journal of Bentham Studies
London Review of Education
Radical Americas
Research for All
The Journal of the Sylvia Townsend Warner Society
The London Journal of Canadian Studies
About
About UCL Press
Who we are
Contact us
My ScienceOpen
Sign in
Register
Dashboard
Search
12
views
2
references
Top references
cited by
3
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
2,142
similar
All similar
Record
: found
Abstract
: not found
Book Chapter
: not found
Head and Neck Tumor Segmentation : First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions
other
Author(s):
Kanchan Ghimire
,
Quan Chen
,
Xue Feng
Publication date
(Online):
January 13 2021
Publisher:
Springer International Publishing
Read this book at
Publisher
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Value-based Healthcare
Most cited references
2
Record
: found
Abstract
: not found
Book Chapter
: not found
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
,
Philipp Fischer
,
Thomas Brox
(2015)
0
comments
Cited
3601
times
– based on
0
reviews
Bookmark
Record
: found
Abstract
: not found
Book Chapter
: not found
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT
Vincent Andrearczyk
,
Valentin Oreiller
,
Mario Jreige
…
(2021)
0
comments
Cited
26
times
– based on
0
reviews
Bookmark
All references
Author and book information
Book Chapter
Publication date (Print):
2021
Publication date (Online):
January 13 2021
Pages
: 78-84
DOI:
10.1007/978-3-030-67194-5_9
SO-VID:
e11c6453-f409-4af1-af68-2ab22c342fd7
History
Data availability:
Comments
Comment on this book
Sign in to comment
Book chapters
pp. 1
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT
pp. 22
Two-Stage Approach for Segmenting Gross Tumor Volume in Head and Neck Cancer with CT and PET Imaging
pp. 28
The Head and Neck Tumor Segmentation Using nnU-Net with Spatial and Channel ‘Squeeze & Excitation’ Blocks
pp. 37
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images
pp. 44
Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network
pp. 53
Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET and CT Images
pp. 59
Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET Images
pp. 78
Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions
pp. 85
Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images
pp. 99
GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images
Similar content
2,142
Team Fundator: Weighted UNet ensembles with enhanced datasets
Authors:
Lars Hodne
,
Eivind Hovdegård Furdal
WBC-Net: A white blood cell segmentation network based on UNet++ and ResNet
Authors:
Yan Lu
,
Xuejun Qin
,
Haoyi Fan
…
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Authors:
Zongwei Zhou
,
Md Rahman Siddiquee
,
Nima Tajbakhsh
…
See all similar
Cited by
3
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT
Authors:
Vincent Andrearczyk
,
Valentin Oreiller
,
Mario Jreige
…
FetalGAN: Automated Segmentation of Fetal Functional Brain MRI Using Deep Generative Adversarial Learning and Multi-Scale 3D U-Net
Authors:
Josepheen De Asis-Cruz
,
Dhineshvikram Krishnamurthy
,
Chris Jose
…
Contouring quality assurance methodology based on multiple geometric features against deep learning auto‐segmentation
Authors:
Jingwei Duan
,
Mark E. Bernard
,
James R. Castle
…
See all cited by