SOTAVerified

Cancer Classification

Papers

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Showing 31–40 of 208 papers

TitleStatusHype
Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach—0
Diffusion models applied to skin and oral cancer classification—0
Contrasting Low and High-Resolution Features for HER2 Scoring using Deep Learning—0
Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis—0
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets—0
Patch Stitching Data Augmentation for Cancer Classification in Pathology Images—0
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification—0
USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images—0
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification—0
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer AnalysisCode0
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Benchmark Results

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