SOTAVerified

Cancer Classification

Papers

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Showing 51–100 of 208 papers

TitleStatusHype
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
Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach—0
Interpretable breast cancer classification using CNNs on mammographic imagesCode0
Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging—0
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions—0
HistoGym: A Reinforcement Learning Environment for Histopathological Image AnalysisCode0
HyperMM : Robust Multimodal Learning with Varying-sized Inputs—0
Stacking-Enhanced Bagging Ensemble Learning for Breast Cancer Classification with CNN—0
DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images—0
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model—0
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast UltrasoundCode0
Unsupervised Latent Stain Adaptation for Computational Pathology—0
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency—0
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature FusionCode0
Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal UltrasoundCode0
Biomarker based Cancer Classification using an Ensemble with Pre-trained Models—0
Mitigating annotation shift in cancer classification using single image generative modelsCode0
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer ClassificationCode0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—0
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics—0
Gallbladder Cancer Detection in Ultrasound Images based on YOLO and Faster R-CNN—0
Leveraging Latents for Efficient Thermography Classification and SegmentationCode0
Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning—0
Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI—0
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble MannerCode0
A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method—0
Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data—0
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability—0
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging—0
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer ClassificationCode0
Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound DiagnosisCode0
Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System—0
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma—0
Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses—0
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification—0
Double Integral Enhanced Zeroing Neural Network Optimized with ALSOA fostered Lung Cancer Classification using CT Images—0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
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Benchmark Results

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