Breast cancer detection using automated segmentation and genetic algorithms

HIGHLIGHTS

• who: Maru00eda de la Luz Escobar and colleagues from the Unidad Acadu00e9mica Ingenieru00eda Elu00e9ctrica, Universidad Autu00f3noma Zacatecas, Jardu00edn Juarez, Centro, Zacatecas, Mexico have published the research: Breast Cancer Detection Using Automated Segmentation and Genetic Algorithms, in the Journal: Diagnostics 2022, 12, 3099. of /2022/
• what: This work proposes a new method to design a bio-marker integrating Bayesian predictive models pyRadiomics System and genetic algorithms to classify the benign and malignant lesions. Reducing delays in diagnosis or performing repetitive tasks is the main goal of the proposed research. In this research, the analysis is focused . . .
  

   

  

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