SOTAVerified

Cancer Classification

Papers

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Showing 176–200 of 208 papers

TitleStatusHype
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