Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges

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Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges

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scientific article published on 17 August 2018

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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name

Machine Learning Applications ...... en-Source Radiomics Challenges

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Machine Learning Applications ...... en-Source Radiomics Challenges

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Item

label

Machine Learning Applications ...... en-Source Radiomics Challenges

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Machine Learning Applications ...... en-Source Radiomics Challenges

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Machine Learning Applications ...... en-Source Radiomics Challenges

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Machine Learning Applications ...... en-Source Radiomics Challenges

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P1476

Machine Learning Applications ...... en-Source Radiomics Challenges

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Aasheesh Kanwar

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Alakonanda Ghosh

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Andrei Pöhlmann

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Andrew J Wong

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Aubrey L White

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Bowman Williams

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Carlo Sansone

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Crosby D Rock

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Dennis S Mackin

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G Elisabeta Marai

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P2860

Image data sharing for biomedical research--meeting HIPAA requirements for De-identification

Human papillomavirus and survival of patients with oropharyngeal cancer.

Association of Human Papillomavirus and p16 Status With Outcomes in the IMCL-9815 Phase III Registration Trial for Patients With Locoregionally Advanced Oropharyngeal Squamous Cell Carcinoma of the Head and Neck Treated With Radiotherapy With or ..

Imaging biomarker roadmap for cancer studies

Robust Radiomics feature quantification using semiautomatic volumetric segmentation.

LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned

Predicting outcomes in radiation oncology--multifactorial decision support systems

Measuring Computed Tomography Scanner Variability of Radiomics Features

The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer

Prevalence of human papillomavirus in oropharyngeal and nonoropharyngeal head and neck cancer--systematic review and meta-analysis of trends by time and region.

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294

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scholarly article

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10.3389/FONC.2018.00294

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English

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Clifton D. Fuller

David M. Vock

Laurence Court

Abdallah Sherif Radwan Mohamed

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2018-08-17T00:00:00Z

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30175071

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machine learning

cancer research

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6107800

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