Krystle Fuller

ORCID: 0000-0003-0706-6857
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About
Contact & Profiles
Research Areas
  • Advanced Radiotherapy Techniques
  • Lung Cancer Diagnosis and Treatment
  • Head and Neck Cancer Studies
  • Radiomics and Machine Learning in Medical Imaging

DeepMind (United Kingdom)
2020-2021

Over half a million individuals are diagnosed with head and neck cancer each year globally. Radiotherapy is an important curative treatment for this disease, but it requires manual time to delineate radiosensitive organs at risk. This planning process can delay while also introducing interoperator variability, resulting in downstream radiation dose differences. Although auto-segmentation algorithms offer potentially time-saving solution, the challenges defining, quantifying, achieving expert...

10.2196/26151 article EN cc-by Journal of Medical Internet Research 2021-07-12

Over half a million individuals are diagnosed with head and neck cancer each year worldwide. Radiotherapy is an important curative treatment for this disease, but it requires manual time consuming delineation of radio-sensitive organs at risk (OARs). This planning process can delay treatment, while also introducing inter-operator variability resulting downstream radiation dose differences. While auto-segmentation algorithms offer potentially time-saving solution, the challenges in defining,...

10.48550/arxiv.1809.04430 preprint EN other-oa arXiv (Cornell University) 2018-01-01

<sec> <title>BACKGROUND</title> Over half a million individuals are diagnosed with head and neck cancer each year globally. Radiotherapy is an important curative treatment for this disease, but it requires manual time to delineate radiosensitive organs at risk. This planning process can delay while also introducing interoperator variability, resulting in downstream radiation dose differences. Although auto-segmentation algorithms offer potentially time-saving solution, the challenges...

10.2196/preprints.26151 preprint EN 2020-11-30
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