SOTAVerified

Cancer Classification

Papers

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Showing 101–150 of 208 papers

TitleStatusHype
Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications—0
Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI—0
Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning—0
Probabilistic Multi-Task Feature Selection—0
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification—0
Quantifying Cancer Likeness: A Statistical Approach for Pathological Image Diagnosis—0
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics—0
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography—0
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets—0
SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labeling—0
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets—0
Skin Cancer Classification using Inception Network and Transfer Learning—0
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet—0
Sparse High-Dimensional Isotonic Regression—0
Stacking-Enhanced Bagging Ensemble Learning for Breast Cancer Classification with CNN—0
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms—0
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms—0
Theoretical Framework for Tempered Fractional Gradient Descent: Application to Breast Cancer Classification—0
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging—0
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis—0
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification—0
Tree Ensembles with Rule Structured Horseshoe Regularization—0
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation—0
Unsupervised Latent Stain Adaptation for Computational Pathology—0
USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images—0
User lung cancer classification using efficientnet from ct scan images—0
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification—0
Validation of Conformal Prediction in Cervical Atypia Classification—0
Dual-Activated Lightweight Attention ResNet50 for Automatic Histopathology Breast Cancer Image Classification—0
Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer—0
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification—0
Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach—0
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification—0
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks—0
Feature vector regularization in machine learning—0
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism—0
Fuzzy Gene Selection and Cancer Classification Based on Deep Learning Model—0
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification—0
Gallbladder Cancer Detection in Ultrasound Images based on YOLO and Faster R-CNN—0
Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods—0
Gene selection from microarray expression data: A Multi-objective PSO with adaptive K-nearest neighborhood—0
Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach—0
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection—0
Histopathologic Image Processing: A Review—0
Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification—0
HyperMM : Robust Multimodal Learning with Varying-sized Inputs—0
Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging—0
Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning—0
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images—0
Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection—0
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Benchmark Results

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