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Cancer Classification

Papers

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Showing 1–50 of 208 papers

TitleStatusHype
Advanced cervical cancer classification: enhancing pap smear images with hybrid PMD Filter-CLAHE—0
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation—0
Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection—0
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification—0
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off—0
An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images—0
Validation of Conformal Prediction in Cervical Atypia Classification—0
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
Triad: Vision Foundation Model for 3D Magnetic Resonance ImagingCode1
Joint Modelling Histology and Molecular Markers for Cancer ClassificationCode1
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
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