SOTAVerified

Cancer Classification

Papers

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Showing 151–175 of 208 papers

TitleStatusHype
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification—0
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation—0
Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features—0
A new parsimonious method for classifying Cancer Tissue-of-Origin Based on DNA Methylation 450K data—0
Analysis of Dimensional Influence of Convolutional Neural Networks for Histopathological Cancer Classification—0
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification—0
Attention Model Enhanced Network for Classification of Breast Cancer Image—0
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification—0
Model Patching: Closing the Subgroup Performance Gap with Data AugmentationCode1
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound—0
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography—0
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications—0
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms—0
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology ImagesCode0
Convolutional Neural Networks for Classifying Melanoma Images—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—0
Medical Image Enhancement Using Histogram Processing and Feature Extraction for Cancer Classification—0
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages—0
Joint 2D-3D Breast Cancer Classification—0
Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline—0
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images—0
Sparse High-Dimensional Isotonic Regression—0
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets—0
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network—0
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Benchmark Results

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