Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging.
Manon BeuqueMarta Martin-LorenzoBenjamin BalluffHenry C. WoodruffMarit LucasDaniel M. de BruinJanita E. van TimmerenOnno J. de BoerRon M. A. HeerenSybren L. MeijerPhilippe LambinPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- mass spectrometry
- machine learning
- high throughput
- mass spectrometry data
- machine learning methods
- ovarian cancer
- proteomic data
- mass spectra
- computer vision
- image analysis
- spectral data
- early detection
- data analysis
- mr images
- data mining
- high resolution
- drug discovery
- breast cancer
- biological data
- time of flight
- image processing
- pattern classification
- spatial resolution
- machine learning algorithms
- three dimensional
- decision trees