ArticleSensors (Basel, Switzerland)2021
Combining Genetic Algorithms and SVM for Breast Cancer Diagnosis Using Infrared Thermography.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Lightweight deep learning model with spatial attention for accurate and efficient breast cancer prediction.Scientific reports · 2026Article
- Breast Cancer Detection Using Infrared Thermography: A Survey of Texture Analysis and Machine Learning Approaches.Bioengineering (Basel, Switzerland) · 2025Review
- Article
- Divulging Patterns: An Analytical Review for Machine Learning Methodologies for Breast Cancer Detection.Journal of Cancer · 2025Review
- The diagnostic and prognostic value ofBioImpacts : BI · 2025Article
- Evolutionary Mechanism Based Conserved Gene Expression Biclustering Module Analysis for Breast Cancer Genomics.Biomedicines · 2024Article
- Cancer detection in breast cells using a hybrid method based on deep complex neural network and data mining.Journal of cancer research and clinical oncology · 2023Article
- Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer.Sensors (Basel, Switzerland) · 2023Article
- A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders.Sensors (Basel, Switzerland) · 2023Article
- The Effect of Rider:Horse Bodyweight Ratio on the Superficial Body Temperature of Horse's Thoracolumbar Region Evaluated by Advanced Thermal Image Processing.Animals : an open access journal from MDPI · 2022Article
- Cancer Detection and Prediction Using Genetic Algorithms.Computational intelligence and neuroscience · 2022Article
- Advances in Thermal Image Analysis for the Detection of Pregnancy in Horses Using Infrared Thermography.Sensors (Basel, Switzerland) · 2021Article
- Highly Discriminative Physiological Parameters for Thermal Pattern Classification.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Breast cancer is one of the leading causes of mortality globally, but early diagnosis and treatment can increase the cancer survival rate. In this context, thermography is a suitable approach to help early diagnosis due to the temperature difference between cancerous tissues and healthy neighboring tissues. This work proposes an ensemble method for selecting models and features by combining a Genetic Algorithm (GA) and the Support Vector Machine (SVM) classifier to diagnose breast cancer. Our evaluation demonstrates that the approach presents a significant contribution to the early diagnosis of breast cancer, presenting results with 94.79% Area Under the Receiver Operating Characteristic Curve and 97.18% of Accuracy.
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Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.