SOTAVerified

Cancer Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 208 papers

TitleStatusHype
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
Multi-View Hypercomplex Learning for Breast Cancer ScreeningCode1
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
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics dataCode1
Soft-Attention Improves Skin Cancer Classification PerformanceCode1
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information—0
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial TrainingCode0
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationCode0
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Benchmark Results

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