SOTAVerified

Cancer Classification

Papers

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Showing 126–150 of 208 papers

TitleStatusHype
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