Modified ResNet Model for MSI and MSS Classification of Gastrointestinal Cancer
This work addresses a domain-specific problem in medical imaging for gastrointestinal cancer diagnosis, with incremental improvements in classification performance.
The authors tackled the classification of microsatellite instability (MSI) and stability (MSS) in gastrointestinal cancer using a modified ResNet model, achieving an accuracy of 0.8981 and an F1 score of 0.9178, which surpassed existing models.
In this work, a modified ResNet model is proposed for the classification of Microsatellite instability(MSI) and Microsatellite stability(MSS) of gastrointestinal cancer. The performance of this model is analyzed and compared with existing models. The proposed model surpassed the existing models with an accuracy of 0.8981 and F1 score of 0.9178.