Publications by authors named "Yuliana Jimenez-Gaona"
Mobile health apps are widely used for breast cancer detection using artificial intelligence algorithms, providing radiologists with second opinions and reducing false diagnoses. This study aims to develop an open-source mobile app named "BraNet" for 2D breast imaging segmentation and classification using deep learning algorithms. During the phase off-line, an SNGAN model was previously trained for synthetic image generation, and subsequently, these images were used to pre-trained SAM and ResNet18 segmentation and classification models.
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- The study investigates species delimitation in a complex group by integrating various factors like molecular data, ecology, and morphology, highlighting the importance of a comprehensive approach.
- It employs both alignment-based and alignment-free phylogenetic methods, using R packages DISTATIS and pvclust, alongside modeling secondary structures of ITS2 sequences for more accurate species classification.
- Results reveal distinct monophyletic clades categorizing 142 sequences into two main clades (A and B), leading to the identification of seven species, supported by high bootstrap values and confirming different species through CBC analysis.
Wide bandgap oxidized graphenes have garnered particular interest among the materials explored for these applications because of their exceptional semiconducting and optical properties. This study aims to investigate the tunability of the related properties in reduced graphene oxide (rGO) for potential use in energy conversion, storage, and optoelectronic devices. To accomplish this, we scrutinized crucial parameters of the synthesis process such as reduction time and temperature.
View Article and Find Full Text PDF(1) Background: Cancer is one of the leading causes of death worldwide, and trends in cancer incidence and mortality are increasing over last years in Loja-Ecuador. Cancer treatment is expensive because of social and economic issues which force the patients to look for other alternatives. One such alternative treatment is ivermectin-based antiparasitic, which is commonly used in treating cattle.
View Article and Find Full Text PDFColposcopy imaging is widely used to diagnose, treat and follow-up on premalignant and malignant lesions in the vulva, vagina, and cervix. Thus, deep learning algorithms are being used widely in cervical cancer diagnosis tools. In this study, we developed and preliminarily validated a model based on the Unet network plus SVM to classify cervical lesions on colposcopy images.
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