Radiomics is a new and emerging field that leverages advancements in machine learning and computational capabilities to provide prognostic and diagnostic outcomes. Using standard medical imaging techniques used to assess the location and spread of the tumor, radiomics is used to compute a wealth of information using sub-visual features from existing images to identify cancer biomarkers. This paper explores the various applications of radiomics, specifically in head and neck cancer imaging. We provide a detailed radiomics workflow for medical image data. We identify the various applications and highlight relevant research works in these applications. We address the challenges faced in the field and highlight future work in this area. This work is helpful to those researchers interested in interdisciplinary research focused on image processing in the Head and Neck anatomy.

Original languageEnglish
Title of host publicationICMHI 2022 - 2022 6th International Conference on Medical and Health Informatics
PublisherAssociation for Computing Machinery, Inc
Number of pages4
ISBN (Electronic)9781450396301
Publication statusPublished - 15-05-2022
Event6th International Conference on Medical and Health Informatics, ICMHI 2022 - Virtual, Online, Japan
Duration: 12-05-202215-05-2022

Publication series

NameACM International Conference Proceeding Series


Conference6th International Conference on Medical and Health Informatics, ICMHI 2022
CityVirtual, Online

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software


Dive into the research topics of 'Using Machine Learning for Precision Prognostics in Head and Neck Cancer Images'. Together they form a unique fingerprint.

Cite this