SOTAVerified

Cancer Classification

Papers

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Showing 126–150 of 208 papers

TitleStatusHype
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets—0
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism—0
Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function—0
Breast Cancer Classification Based on Histopathological Images Using a Deep Learning Capsule Network—0
Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification—0
Lesion detection in contrast enhanced spectral mammography—0
Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning—0
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer—0
Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound—0
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features—0
Gene selection from microarray expression data: A Multi-objective PSO with adaptive K-nearest neighborhood—0
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification—0
Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer—0
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in HistopathologyCode0
New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor—0
An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks—0
Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer ClassificationCode0
Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images—0
Biomarker Gene Identification for Breast Cancer Classification—0
Skin Cancer Classification using Inception Network and Transfer Learning—0
Breast Cancer Classification Using: Pixel Interpolation—0
Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset—0
Memory-aware curriculum federated learning for breast cancer classificationCode0
Deep Learning for Breast Cancer Classification: Enhanced Tangent Function—0
Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification—0
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Benchmark Results

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