SOTAVerified

Cancer Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 208 papers

TitleStatusHype
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
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis—0
User lung cancer classification using efficientnet from ct scan images—0
Comparative Analysis of Deep Learning Architectures for Breast Cancer Diagnosis Using the BreaKHis Dataset—0
Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review—0
Dual-Activated Lightweight Attention ResNet50 for Automatic Histopathology Breast Cancer Image Classification—0
Revisiting Skin Tone Fairness in Dermatological Lesion ClassificationCode0
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion ClassificationCode0
A comprehensive review of deep learning in lung cancer—0
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer ClassificationCode0
Fuzzy Gene Selection and Cancer Classification Based on Deep Learning Model—0
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer ClassificationCode0
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation—0
CerviFormer: A Pap-smear based cervical cancer classification method using cross attention and latent transformer—0
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network—0
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning—0
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A ReviewCode0
Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI—0
Adversarial Attacks and Defences for Skin Cancer Classification—0
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Benchmark Results

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