SOTAVerified

Cancer Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 208 papers

TitleStatusHype
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework—0
Theoretical Framework for Tempered Fractional Gradient Descent: Application to Breast Cancer Classification—0
MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification—0
CytoFM: The first cytology foundation model—0
PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks—0
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
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification—0
Patch Stitching Data Augmentation for Cancer Classification in Pathology Images—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
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation—0
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
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
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
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Benchmark Results

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