Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC

no code implementations • 24 May 2023 • Marc Boubnovski Martell, Kristofer Linton-Reid, Sumeet Hindocha, Mitchell Chen, OCTAPUS-AI, Paula Moreno, Marina Álvarez-Benito, Ángel Salvatierra, Richard Lee, Joram M. Posma, Marco A Calzado, Eric O Aboagye

The rich chemical information from tissue metabolomics provides a powerful means to elaborate tissue physiology or tumor characteristics at cellular and tumor microenvironment levels.

Computed Tomography (CT) Management +1

Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs

no code implementations • 11 May 2021 • Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid, Joram M. Posma, Susan J Copley, Eric O. Aboagye

Diseased lung regions often produce high-density zones on CT images, limiting an algorithm's execution to specify damaged lobes due to oblique or lacking fissures.

Multi-Task Learning Segmentation