SOTAVerified

Cancer Classification

Papers

Showing 81–90 of 208 papers

TitleStatusHype
A new parsimonious method for classifying Cancer Tissue-of-Origin Based on DNA Methylation 450K data—0
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features—0
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer—0
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework—0
An evaluation of DNA-damage response and cell-cycle pathways for breast cancer classification—0
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions—0
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography—0
Double Integral Enhanced Zeroing Neural Network Optimized with ALSOA fostered Lung Cancer Classification using CT Images—0
Dual-Activated Lightweight Attention ResNet50 for Automatic Histopathology Breast Cancer Image Classification—0
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation—0
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Benchmark Results

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