SOTAVerified

Cancer Classification

Papers

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Showing 151–200 of 208 papers

TitleStatusHype
Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline—0
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification—0
Joint 2D-3D Breast Cancer Classification—0
Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification—0
Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images—0
Lesion detection in contrast enhanced spectral mammography—0
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency—0
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data—0
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification—0
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network—0
Medical Image Enhancement Using Histogram Processing and Feature Extraction for Cancer Classification—0
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis—0
miRNA and Gene Expression based Cancer Classification using Self- Learning and Co-Training Approaches—0
Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI—0
MRANet: A Modified Residual Attention Networks for Lung and Colon Cancer Classification—0
MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification—0
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network—0
Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification—0
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial TrainingCode0
Breast Tumor Classification Using EfficientNet Deep Learning ModelCode0
Attention-Map Augmentation for Hypercomplex Breast Cancer ClassificationCode0
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer ClassificationCode0
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathologyCode0
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble MannerCode0
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer ClassificationCode0
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer ClassificationCode0
Leveraging Latents for Efficient Thermography Classification and SegmentationCode0
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypesCode0
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural NetworkCode0
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A ReviewCode0
MamT^4: Multi-view Attention Networks for Mammography Cancer ClassificationCode0
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in HistopathologyCode0
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature FusionCode0
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer AnalysisCode0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
Deep neural network or dermatologist?Code0
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationCode0
Memory-aware curriculum federated learning for breast cancer classificationCode0
Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer ClassificationCode0
Visual Attention Prompted Prediction and LearningCode0
HistoGym: A Reinforcement Learning Environment for Histopathological Image AnalysisCode0
Mitigating annotation shift in cancer classification using single image generative modelsCode0
Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound DiagnosisCode0
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology ImagesCode0
Revisiting Skin Tone Fairness in Dermatological Lesion ClassificationCode0
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide ImagesCode0
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer ClassificationCode0
Conditional Infilling GANs for Data Augmentation in Mammogram ClassificationCode0
Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer ClassificationCode0
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Benchmark Results

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