Cargando…

Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

Detalles Bibliográficos
Autores principales:	Wahid, Kareem A., Cardenas, Carlos E., Marquez, Barbara, Netherton, Tucker J., Kann, Benjamin H., Court, Laurence E., He, Renjie, Naser, Mohamed A., Moreno, Amy C., Fuller, Clifton D., Fuentes, David
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cornell University 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614971/ https://www.ncbi.nlm.nih.gov/pubmed/37904737

Ejemplares similares

Geometrical and dosimetric evaluation of breast target volume auto-contouring
por: Simões, Rita, et al.
Publicado: (2019)

Embracing complexity: new horizons in frailty research
por: Wu, Chenkai
Publicado: (2023)

Resection cavity auto‐contouring for patients with pediatric medulloblastoma using only CT information
por: Hernandez, Soleil, et al.
Publicado: (2023)

A real-time contouring feedback tool for consensus-based contour training
por: Nelson, Christopher L., et al.
Publicado: (2023)

Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases
por: Sahlsten, Jaakko, et al.
Publicado: (2023)

E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation
por: Lin, Diana, et al.
Publicado: (2023)

Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network
por: Taku, Nicolette, et al.
Publicado: (2022)

Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer
por: Naser, Mohamed A., et al.
Publicado: (2022)

Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case
por: Sahlsten, Jaakko, et al.
Publicado: (2023)

Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry
por: Wahid, Kareem A., et al.
Publicado: (2021)

A geometric method for contour extraction of Drosophila embryos
por: Li, Qi, et al.
Publicado: (2017)

Validation of an automated contouring and treatment planning tool for pediatric craniospinal radiation therapy
por: Hernandez, Soleil, et al.
Publicado: (2023)

Automatic contouring system for cervical cancer using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2020)

Artificial Intelligence for Radiation Oncology Applications Using Public Datasets
por: Wahid, Kareem A., et al.
Publicado: (2022)

Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations
por: Xian, Lixun, et al.
Publicado: (2021)

Spectrum of Systemic Auto-Inflammatory Diseases in India: A Multi-Centric Experience
por: Suri, Deepti, et al.
Publicado: (2021)

Geometrical Optics Restricted Eavesdropping Analysis of Satellite-to-Satellite Secret Key Distillation
por: Pan, Ziwen, et al.
Publicado: (2021)

Methodological approach to create an atlas using a commercial auto‐contouring software
por: Casati, Marta, et al.
Publicado: (2020)

Deep Learning Architecture to Improve Edge Accuracy of Auto-Contouring for Head and Neck Radiotherapy
por: Gifford, Ryan, et al.
Publicado: (2023)

Analysis of Geometric Performance and Dosimetric Impact of Using Automatic Contour Segmentation for Radiotherapy Planning
por: Cao, Minsong, et al.
Publicado: (2020)

Initial Geometrical Templates with Parameter Sets for Active Contour on Skin Cancer Boundary Segmentation
por: Bumrungkun, Prachya, et al.
Publicado: (2021)

The extra-embryonic space and the local contour are crucial geometric constraints regulating cell arrangement
por: Seirin-Lee, Sungrim, et al.
Publicado: (2022)

The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy
por: Li, Yi, et al.
Publicado: (2022)

An automated distillation method for the determination of diacetyl in beer: a comparison of analysis by AutoAnalyzer and gas chromatography
por: Buijten, J. C., et al.
Publicado: (1979)

Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?
por: Baroudi, Hana, et al.
Publicado: (2023)

Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms
por: Huang, Kai, et al.
Publicado: (2021)

Parametric delineation uncertainties contouring (PDUC) modeling on CT scans of prostate cancer patients
por: Ly, Vi, et al.
Publicado: (2023)

Embrace the Chaos
por: Miglani, Bob
Publicado: (2013)

Embracing risk
por: Cagan, Ross
Publicado: (2015)

Automatic detection of contouring errors using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2019)

COVID-19′s impact on older adults’ cycling behaviors in a small, auto-centric urban area
por: Gladwin, Kristin, et al.
Publicado: (2022)

A comparative study of auto-contouring softwares in delineation of organs at risk in lung cancer and rectal cancer
por: Chen, Weijun, et al.
Publicado: (2021)

Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto‐contouring
por: Udupa, Jayaram K., et al.
Publicado: (2022)

A protein domain-centric approach for the comparative analysis of human and yeast phenotypically relevant mutations
por: Peterson, Thomas A, et al.
Publicado: (2013)

Automated contouring and statistical process control for plan quality in a breast clinical trial
por: Baroudi, Hana, et al.
Publicado: (2023)

Distilling the distillers: examining the political activities of the Distilled Spirits Council of the United States
por: Lesch, Matthew, et al.
Publicado: (2023)

Exploration and augmentation of pharmacological space via adversarial auto-encoder model for facilitating kinase-centric drug development
por: Bai, Xinyu, et al.
Publicado: (2021)

Distillation /
por: Van Winkle, Matthew, 1910-
Publicado: (1967)

A Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour Model
por: Feng, Changli, et al.
Publicado: (2015)

Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study
por: Fast, Martin F., et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_bkbqspp9bh81dbtak9pnbpn2j7