SOTAVerified

Cancer Classification

Papers

Showing 150 of 208 papers

TitleStatusHype
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic DataCode2
Pan-cancer Histopathology WSI Pre-training with Position-aware Masked AutoencoderCode1
Model Patching: Closing the Subgroup Performance Gap with Data AugmentationCode1
Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External ValidationCode1
MV-Swin-T: Mammogram Classification with Multi-view Swin TransformerCode1
Virchow: A Million-Slide Digital Pathology Foundation ModelCode1
MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and DetectionCode1
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer ClassificationCode1
Triad: Vision Foundation Model for 3D Magnetic Resonance ImagingCode1
Peritumoral Expansion Radiomics for Improved Lung Cancer ClassificationCode1
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
Multi-View Hypercomplex Learning for Breast Cancer ScreeningCode1
A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype ClassificationCode1
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
Soft-Attention Improves Skin Cancer Classification PerformanceCode1
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics dataCode1
Joint Modelling Histology and Molecular Markers for Cancer ClassificationCode1
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive LearningCode1
Attention-Map Augmentation for Hypercomplex Breast Cancer ClassificationCode0
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationCode0
Revisiting Skin Tone Fairness in Dermatological Lesion ClassificationCode0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
Mitigating annotation shift in cancer classification using single image generative modelsCode0
Breast Tumor Classification Using EfficientNet Deep Learning ModelCode0
Memory-aware curriculum federated learning for breast cancer classificationCode0
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion ClassificationCode0
Leveraging Latents for Efficient Thermography Classification and SegmentationCode0
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathologyCode0
Interpretable breast cancer classification using CNNs on mammographic imagesCode0
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A ReviewCode0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in HistopathologyCode0
HistoGym: A Reinforcement Learning Environment for Histopathological Image AnalysisCode0
MamT^4: Multi-view Attention Networks for Mammography Cancer ClassificationCode0
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional NetworksCode0
Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound DiagnosisCode0
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial TrainingCode0
Deep neural network or dermatologist?Code0
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer ClassificationCode0
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer ClassificationCode0
Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer ClassificationCode0
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural NetworkCode0
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer ClassificationCode0
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature FusionCode0
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer ClassificationCode0
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast UltrasoundCode0
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide ImagesCode0
Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative StudyCode0
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer ClassificationCode0
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology ImagesCode0
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Benchmark Results

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