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Cancer Classification

Papers

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Showing 176–200 of 208 papers

TitleStatusHype
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer ClassificationCode0
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer ClassificationCode0
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion ClassificationCode0
Leveraging Latents for Efficient Thermography Classification and SegmentationCode0
Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal UltrasoundCode0
Attention-Map Augmentation for Hypercomplex Breast Cancer ClassificationCode0
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A ReviewCode0
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in HistopathologyCode0
MamT^4: Multi-view Attention Networks for Mammography Cancer ClassificationCode0
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural NetworkCode0
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer AnalysisCode0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
Deep neural network or dermatologist?Code0
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathologyCode0
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature FusionCode0
Memory-aware curriculum federated learning for breast cancer classificationCode0
Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer ClassificationCode0
HistoGym: A Reinforcement Learning Environment for Histopathological Image AnalysisCode0
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationCode0
Mitigating annotation shift in cancer classification using single image generative modelsCode0
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypesCode0
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology ImagesCode0
Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound DiagnosisCode0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
Conditional Infilling GANs for Data Augmentation in Mammogram ClassificationCode0
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Benchmark Results

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