Titlebook: Information and Communication Technologies; 12th Ecuadorian Conf Santiago Berrezueta-Guzman,Rommel Torres,Jorge Her Conference proceedings

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Using Artificial Intelligence and X-ray Images to Train and Predict COVID-19 and Pneumonia: Tool foria also ranked among the top causes of death. Traditional chest X-rays and chest CT scans are commonly used for diagnosing COVID-19, but studies by Wong et al. indicate that chest X-rays are less sensitive compared to CT scans unless artificial intelligence is utilized. Tahir et al. highlighted that

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Deep Learning-Based Leukemia Diagnosis from Bone Marrow ImagesLeukemia. The complexity of microscopy image analysis necessitates a computational tool to automate this process, reducing the workload on hematologists. Our study introduces a Deep Learning-based method designed to efficiently detect and classify cell characteristics in BMAS images. Current systems

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Breast Thermographic Image Augmentation Using Generative Adversarial Networks (GANs)icial intelligence, facilitates early breast cancer diagnosis and detection. However, training deep learning algorithms such as convolutional neural networks is challenging due to the limited number of images. The primary objective of this study is to create a set of synthetic breast thermographic i

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Evaluating Histopathological Cancer Detection: A Comparative Analysis of CNN Architectures for Tumore pathology images. Using a significant subset of the PCam dataset, models were trained on binary classification tasks focused on identifying tumor tissue, with data augmentation applied to enhance generalization. The methodology involved a rigorous process of data preparation, model selection, trai

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ViTSigat: Early Black Sigatoka Detection in Banana Plants Using Vision Transformererformance with other proposed model based on Convolutional Neural Network is performed. As first step, a pre-processing is applied to a dataset of 98 videos, which were recorded from a banana plantation using a mobile phone with high resolution camera. The obtained images from each video generated

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Automatic Parking Space Segmentation Using K-Means Clustering and?Image Processing Techniquesns algorithm and the OpenCV library. The main objective is to determine the trapezoid describing the parking area by analyzing data previously collected from multiple photographs. These images contain several vehicles parked in different dispositions and moments in time. For this, the coordinates of

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Centinela: An Intelligent System Based on?an?Integrated Architecture for?Supporting Scholarsnt underscores the critical need for enhanced collaboration among experts. In Ecuador, both public and private universities are spearheading high-quality research initiatives that engage hundreds of scholars, highlighting an increased momentum in scientific output. This surge necessitates an efficie

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