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Cancer Classification

Papers

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Showing 51–100 of 208 papers

TitleStatusHype
Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach—0
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
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic DataCode2
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
Pan-cancer Histopathology WSI Pre-training with Position-aware Masked AutoencoderCode1
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
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
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
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble MannerCode0
Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI—0
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
MV-Swin-T: Mammogram Classification with Multi-view Swin TransformerCode1
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
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis—0
Breast Cancer classification by adaptive weighted average ensemble of previously trained models—0
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection—0
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data—0
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification—0
Visual Attention Prompted Prediction and LearningCode0
Attention-Map Augmentation for Hypercomplex Breast Cancer ClassificationCode0
Virchow: A Million-Slide Digital Pathology Foundation ModelCode1
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis—0
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Benchmark Results

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