Artificial Intelligence-Based Segmentation of Residual Tumor in Histopathology of Pancreatic Cancer after Neoadjuvant Treatment.

Boris V JanssenRutger TheijseStijn van RoesselRik de RuiterAntonie BerkelJoost HuiskensOlivier R BuschJohanna W WilminkGeert KazemierPieter ValkemaArantza Fariña SarasquetaJoanne VerheijOnno J de BoerMarc G Besselink

Published in: Cancers (2021)

This study shows that artificial intelligence-based assessment of residual tumor burden is feasible given the promising obtained F1 scores for tumor segmentation. This model could be developed into a tool for the objective evaluation of the response to NAT and may potentially guide the choice for adjuvant treatment.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
convolutional neural network
early stage
lymph node
radiation therapy
rectal cancer
squamous cell carcinoma
risk factors
locally advanced
combination therapy
replacement therapy