SOTAVerified

Cancer Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 208 papers

TitleStatusHype
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