Stepwise deep neural network (stepwise-net) for head and neck auto-segmentation on CT images-Reference-Cited by-同舟云学术

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Stepwise deep neural network (stepwise-net) for head and neck auto-segmentation on CT images

Published:2022-04 Issue: Volume:143 Page:105295
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kawahara Daisuke,Tsuneda Masato,Ozawa Shuichi,Okamoto Hiroyuki,Nakamura Mitsuhiro,Nishio Teiji,Saito Akito,Nagata Yasushi

Funder

Elekta

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference37 articles.

1. Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer;La Macchia;Radiat. Oncol.,2012

2. Emphasizing conformal avoidance versus target definition for IMRT planning in head–and–neck cancer;Harari;Int. J. Radiat. Oncol. Biol. Phys.,2010

3. Vision 20/20: perspectives on automated image segmentation for radiotherapy;Sharp;Med. Phys.,2014

4. Atlas₋based auto₋segmentation of head and neck CT images;Han,2008

5. Does atlas–based autosegmentation of neck levels require subsequent manual contour editing to avoid risk of severe target underdosage? a dosimetric analysis;Voet;Radiother Oncol. J. Eur. Soc. Ther. Radiol. Oncol.,2011

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2. Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation;Physics in Medicine & Biology;2024-05-14

3. The Squeeze & Excitation Normalization Based nnU-Net for Segmenting Head & Neck Tumors;Chinese Journal of Electronics;2024-05

4. Towards Automation in Radiotherapy Planning: A Deep Learning Approach for the Delineation of Parotid Glands in Head and Neck Cancer;Bioengineering;2024-02-24

5. An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images;Neural Computing and Applications;2024-01-11

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