Deep learning techniques for medical image segmentation: achievements and challenges
Deep learning-based image segmentation is by now firmly established as a robust tool in
image segmentation. It has been widely used to separate homogeneous areas as the first …
image segmentation. It has been widely used to separate homogeneous areas as the first …
Vision 20/20: perspectives on automated image segmentation for radiotherapy
Due to rapid advances in radiation therapy (RT), especially image guidance and treatment
adaptation, a fast and accurate segmentation of medical images is a very important part of …
adaptation, a fast and accurate segmentation of medical images is a very important part of …
V-net: Fully convolutional neural networks for volumetric medical image segmentation
Convolutional Neural Networks (CNNs) have been recently employed to solve problems
from both the computer vision and medical image analysis fields. Despite their popularity …
from both the computer vision and medical image analysis fields. Despite their popularity …
Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks
K Men, J Dai, Y Li - Medical physics, 2017 - Wiley Online Library
Purpose Delineation of the clinical target volume (CTV) and organs at risk (OAR s) is very
important for radiotherapy but is time‐consuming and prone to inter‐observer variation …
important for radiotherapy but is time‐consuming and prone to inter‐observer variation …
Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network
Background and purpose Manual contouring is labor intensive, and subject to variations in
operator knowledge, experience and technique. This work aims to develop an automated …
operator knowledge, experience and technique. This work aims to develop an automated …
[HTML][HTML] Clinical evaluation of deep learning and atlas-based auto-contouring of bladder and rectum for prostate radiation therapy
WJ Zabel, JL Conway, A Gladwish, J Skliarenko… - Practical Radiation …, 2021 - Elsevier
Purpose Auto-contouring may reduce workload, interobserver variation, and time associated
with manual contouring of organs at risk. Manual contouring remains the standard due in …
with manual contouring of organs at risk. Manual contouring remains the standard due in …
Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer
M La Macchia, F Fellin, M Amichetti, M Cianchetti… - Radiation …, 2012 - Springer
Purpose To validate, in the context of adaptive radiotherapy, three commercial software
solutions for atlas-based segmentation. Methods and materials Fifteen patients, five for each …
solutions for atlas-based segmentation. Methods and materials Fifteen patients, five for each …
Automatic delineation of the clinical target volume and organs at risk by deep learning for rectal cancer postoperative radiotherapy
Y Song, J Hu, Q Wu, F Xu, S Nie, Y Zhao, S Bai… - Radiotherapy and …, 2020 - Elsevier
Background and purpose Manual delineation of clinical target volumes (CTVs) and organs
at risk (OARs) is time-consuming, and automatic contouring tools lack clinical validation. We …
at risk (OARs) is time-consuming, and automatic contouring tools lack clinical validation. We …
[HTML][HTML] Implementing cone-beam computed tomography-guided online adaptive radiotherapy in cervical cancer
CE Shelley, MA Bolt, R Hollingdale… - Clinical and …, 2023 - Elsevier
Background and purpose Adaptive radiotherapy (ART) in locally advanced cervical cancer
(LACC) has shown promising outcomes. This study investigated the feasibility of cone-beam …
(LACC) has shown promising outcomes. This study investigated the feasibility of cone-beam …
Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer
Background and purpose. Daily organ motion occurring during the course of radiotherapy in
the pelvic region leads to uncertainties in the doses delivered to the tumour and the organs …
the pelvic region leads to uncertainties in the doses delivered to the tumour and the organs …