SOTAVerified

Cancer Classification

Papers

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Showing 151–200 of 208 papers

TitleStatusHype
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information—0
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial TrainingCode0
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationCode0
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
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
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide ImagesCode0
A CNN toolbox for skin cancer classification—0
Deep neural network or dermatologist?Code0
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images—0
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet—0
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images—0
Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification—0
Breast Cancer Classification with Ultrasound Images Based on SLIC—0
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional NetworksCode0
Histopathologic Image Processing: A Review—0
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms—0
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification—0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications—0
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks—0
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural NetworkCode0
Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms—0
Conditional Infilling GANs for Data Augmentation in Mammogram ClassificationCode0
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images—0
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification—0
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images—0
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images—0
Tree Ensembles with Rule Structured Horseshoe Regularization—0
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Benchmark Results

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