Modified ResNet Model for MSI and MSS Classification of Gastrointestinal Cancer
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 13 references that are in the map. First posted on arXiv 3 Feb 2022.
Builds on
6 of 13 references.
References · 6
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
- 2018RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classificationcited by 11
- 2020Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Reviewcited by 7
- 2020Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentationcited by 2
- 2019Lung Cancer Detection and Classification based on Image Processing and Statistical Learningcited by 1
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Citing papers per year: 2022: 1.
1 paper.