Developing a Machine Learning-Based Clinical Decision Support Tool for Uterine Tumor Imaging.
Darryl E. WrightAdriana V. GregoryDeema A. AnaamSepideh YadollahiSumana RamanathanKafayat A. OyemadeReem AlsibaiHeather HolmesHarrison C. GottlichCherie-Akilah G. BrowneSarah L. Cohen RassierIsabel GreenElizabeth A. StewartHiroaki TakahashiBohyun KimShannon Laughlin-TommasoTimothy L. KlinePublished in: CoRR (2023)
Keyphrases
- machine learning
- clinical applications
- treatment planning
- disease progression
- small animal
- high resolution
- imaging systems
- computer vision
- image analysis
- data mining
- knowledge discovery
- image processing
- decision trees
- medical domain
- machine learning methods
- medical imaging
- information extraction
- breast cancer
- breast cancer detection
- brain imaging
- natural language processing
- machine learning algorithms
- micro ct
- tissue characterization
- clinical data
- clinical practice
- medical images
- text mining
- mathematical modeling
- clinical trials
- clinical studies
- cancer treatment
- clinical setting
- cervical cancer
- learning algorithm
- lung cancer patients