Now showing items 1-10 of 10

    • A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images 

      Escorcia-Gutierrez, Jose; Torrents-Barrena, Jordina; Gamarra, Margarita; Romero-Aroca, Pedro; Valls, Aida; Puig, Domenec (Corporación Universidad de la Costa, 2021-07-15)
      Retinal disorders are a severe health threat for older adults because they may lead to vision loss and blindness. Diabetic patients are particularly prone to suffer from Diabetic Retinopathy. Identifying relevant structural ...
    • Artificial intelligence with big data analytics-based brain intracranial hemorrhage e-diagnosis using CT images 

      Mansour, Romany F.; Escorcia-Gutierrez, Jose; Gamarra, Margarita; Garcia-Diaz, Vicente; Gupta, Deepak; kumar, sachin (Corporación Universidad de la Costa, 2021-06-21)
      Due to the fast development of medical imaging technologies, medical image analysis has entered the period of big data for proper disease diagnosis. At the same time, intracerebral hemorrhage (ICH) becomes a serious disease ...
    • Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection 

      Escorcia-Gutierrez, Jose; Torrents-Barrena, Jordina; Gamarra, Margarita; Romero-Aroca, Pedro; Valls, Aida; Puig, Domenec (Corporación Universidad de la Costa, 2020)
      Diabetic retinopathy (DR) has become a major worldwide health problem due to the increase in blindness among diabetics at early ages. The detection of DR pathologies such as microaneurysms, hemorrhages and exudates through ...
    • Diagnosis of leukemia disease based on enhanced virtual neural network 

      Muthumayil, K.; Manikandan, S.; Srinivasan, S.; Escorcia-Gutierrez, Jose; Gamarra, Margarita; Mansour, Romany F. (Corporación Universidad de la Costa, 2021)
      White Blood Cell (WBC) cancer or leukemia is one of the serious cancers that threaten the existence of human beings. In spite of its prevalence and serious consequences, it is mostly diagnosed through manual practices. The ...
    • Identification of microbiota biomarkers with orthologous gene annotation for type 2 diabetes 

      Zhang, Yu-Hang; Guo, Wei; Tao, Zeng; ShiQi, Zhang; Chen, Lei; Gamarra, Margarita; Mansour, Romany F.; Escorcia-Gutierrez, Jose; Huang, Tao; Yu Dong, Cai (2021-07-09)
      Type 2 diabetes (T2D) is a systematic chronic metabolic condition with abnormal sugar metabolism dysfunction, and its complications are the most harmful to human beings and may be life-threatening after long-term durations. ...
    • Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model 

      Mansour, Romany F.; Escorcia-García, José; Gamarra, Margarita; VILLANUEVA, JAIR ASIR; Leal, Nallig (Corporación Universidad de la Costa, 2021)
      Recently, intelligent video surveillance applications have become essential in public security by the use of computer vision technologies to investigate and understand long video streams. Anomaly detection and classification ...
    • Investigating gene methylation signatures for fetal intolerance prediction 

      Zhang, Yu-Hang; Li, Zhandong; Zeng, Tao; Chen, Lei; Li, Hao; Gamarra, Margarita; MansourI, Romany F.; Escorcia-Gutierrez, Jose; Huang, Tao; Cai, Yu-Dong (Corporación Universidad de la Costa, 2021-04-22)
      Pregnancy is a complicated and long procedure during one or more offspring development inside a woman. A short period of oxygen shortage after birth is quite normal for most babies and does not threaten their health. ...
    • MC-Kmeans: an approach to cell image segmentation using clustering algorithms 

      Gamarra, Margarita; Manjarres, Yesit; Torres Torres, Melitsa; Escorcia-Gutierrez, Jose; Zurek, Eduardo (Corporación Universidad de la Costa, 2021)
      Digital image processing has been a fundamental tool for the diagnostic and treatment of diseases. Several techniques have been used to analyze microscopic images in cell-level processes. Different methods for the segmentation ...
    • Spiral-Based model for software architecture in bio-image analysis: A case study in RSV cell infection 

      Gamarra, Margarita; Zurek, Eduardo; Nieto Bernal, Wilson; Jimeno, Miguel; Sierra, Deibys (Corporación Universidad de la Costa, 2020)
      The advancement in biological and medical image acquisitions has allowed the development of numerous investigations in different fields supported by image analysis, from cell to physiological level. The complexity in the ...
    • Unsupervised deep learning based variational autoencoder model for COVID-19 diagnosis and classification 

      Mansour, Romany F.; Escorcia-Gutierrez, Jose; Gamarra, Margarita; Gupta, Deepak; Castillo, Oscar; kumar, sachin (Corporación Universidad de la Costa, 2021)
      At present times, COVID-19 has become a global illness and infected people has increased exponentially and it is difficult to control due to the non-availability of large quantity of testing kits. Artificial intelligence ...