Modified ResNet Model for MSI and MSS Classification of Gastrointestinal Cancer
CH Sai Venkatesh, Caleb Meriga, M.G.V.L Geethika, T Lakshmi Gayatri,, V.B.K.L Aruna
TL;DR
This paper introduces a modified ResNet model tailored for classifying MSI and MSS in gastrointestinal cancer, demonstrating superior accuracy and F1 score compared to existing models.
Contribution
The paper presents a novel modification of ResNet specifically designed for MSI and MSS classification in gastrointestinal cancer.
Findings
Achieved an accuracy of 0.8981
F1 score of 0.9178
Outperformed existing models
Abstract
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.
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Taxonomy
TopicsGenetic factors in colorectal cancer · Colorectal Cancer Treatments and Studies
Methods*Communicated@Fast*How Do I Communicate to Expedia? · Average Pooling · Global Average Pooling · Convolution · Residual Connection · Max Pooling · Batch Normalization · 1x1 Convolution · Bottleneck Residual Block · Residual Block