SOTAVerified

Cancer Classification

Papers

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Showing 26–50 of 208 papers

TitleStatusHype
A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier—0
MRANet: A Modified Residual Attention Networks for Lung and Colon Cancer Classification—0
MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and DetectionCode1
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypesCode0
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography—0
Breast Tumor Classification Using EfficientNet Deep Learning ModelCode0
Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External ValidationCode1
Peritumoral Expansion Radiomics for Improved Lung Cancer ClassificationCode1
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathologyCode0
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer ClassificationCode0
MamT^4: Multi-view Attention Networks for Mammography Cancer ClassificationCode0
DCT-HistoTransformer: Efficient Lightweight Vision Transformer with DCT Integration for histopathological image analysis—0
New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture—0
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network—0
Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification—0
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI—0
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network—0
Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer ClassificationCode0
Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification—0
Quantifying Cancer Likeness: A Statistical Approach for Pathological Image Diagnosis—0
Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification—0
SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labeling—0
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer ClassificationCode0
Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative StudyCode0
Interpretable breast cancer classification using CNNs on mammographic imagesCode0
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Benchmark Results

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