SOTAVerified

Cancer Classification

Papers

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Showing 176–200 of 208 papers

TitleStatusHype
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound—0
Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data—0
Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset—0
Biomarker based Cancer Classification using an Ensemble with Pre-trained Models—0
Biomarker Gene Identification for Breast Cancer Classification—0
Breast Cancer Classification Based on Histopathological Images Using a Deep Learning Capsule Network—0
Breast Cancer classification by adaptive weighted average ensemble of previously trained models—0
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework—0
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features—0
Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability—0
Breast Cancer Classification Using: Pixel Interpolation—0
Breast Cancer Classification with Ultrasound Images Based on SLIC—0
CerviFormer: A Pap-smear based cervical cancer classification method using cross attention and latent transformer—0
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification—0
Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification—0
Comparative Analysis of Deep Learning Architectures for Breast Cancer Diagnosis Using the BreaKHis Dataset—0
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation—0
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification—0
Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification—0
Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features—0
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images—0
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images—0
Contrasting Low and High-Resolution Features for HER2 Scoring using Deep Learning—0
Convolutional Neural Networks for Classifying Melanoma Images—0
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Benchmark Results

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