SOTAVerified

Cancer Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 208 papers

TitleStatusHype
Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System—0
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets—0
A CNN toolbox for skin cancer classification—0
A comprehensive review of deep learning in lung cancer—0
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning—0
Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis—0
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation—0
Advanced cervical cancer classification: enhancing pap smear images with hybrid PMD Filter-CLAHE—0
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages—0
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions—0
Adversarial Attacks and Defences for Skin Cancer Classification—0
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
Analysis of Dimensional Influence of Convolutional Neural Networks for Histopathological Cancer Classification—0
An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images—0
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification—0
An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks—0
An evaluation of DNA-damage response and cell-cycle pathways for breast cancer classification—0
A new parsimonious method for classifying Cancer Tissue-of-Origin Based on DNA Methylation 450K data—0
A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method—0
A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier—0
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma—0
Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review—0
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information—0
Attention Model Enhanced Network for Classification of Breast Cancer Image—0
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
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
Show:102550
← PrevPage 4 of 5Next →

Benchmark Results

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