SOTAVerified

Cancer Classification

Papers

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Showing 41–50 of 208 papers

TitleStatusHype
Breast Cancer classification by adaptive weighted average ensemble of previously trained models—0
An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks—0
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework—0
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features—0
Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability—0
Breast Cancer Classification Using: Pixel Interpolation—0
Breast Cancer Classification with Ultrasound Images Based on SLIC—0
A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method—0
A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier—0
Comparative Analysis of Deep Learning Architectures for Breast Cancer Diagnosis Using the BreaKHis Dataset—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LASSO-MOGAT1:1 Accuracy95.9—Unverified
2LASSO-MOGAT1:1 Accuracy94.68—Unverified