[PDF][PDF] Deep Learning for Glaucoma Detection: R-CNN ResNet-50 and Image Segmentation
MS Puchaicela-Lozano, L Zhinin-Vera… - Journal of Advances in …, 2023 - jait.us
Glaucoma is a leading cause of irreversible blindness worldwide, affecting millions of
people. Early diagnosis is essential to reduce visual loss, and various techniques are used …
people. Early diagnosis is essential to reduce visual loss, and various techniques are used …
Biomechanical Study of the Eye with Keratoconus-Type Corneal Ectasia Using a 3D Geometric Model
E Sánchez-Real, D Otuna-Hernández… - Applied Sciences, 2023 - mdpi.com
Keratoconus is an eye disease that distorts the shape of the cornea. This study aimed to
analyze the effect of an increase in intraocular pressure applied to eyes with different …
analyze the effect of an increase in intraocular pressure applied to eyes with different …
Diagnosis and degree of evolution in a Keratoconus-type corneal Ectasia from image processing
D Otuna-Hernández, L Espinoza-Castro… - … Conference on Smart …, 2022 - Springer
Keratoconus is a degenerative ocular pathology characterized by the thinning of the cornea,
thus affecting many people around the world since this corneal ectasia causes a …
thus affecting many people around the world since this corneal ectasia causes a …
Context and Characteristics of Software Related to Ecuadorian Scientific Production: A Bibliometric and Content Analysis Study
M Espinoza-Mina, A Colina Vargas… - … Conference on Applied …, 2023 - Springer
In view of the predominance of Information Technologies in different contexts, it is known
that the use of software and data in the field of scientific research has increased; however, it …
that the use of software and data in the field of scientific research has increased; however, it …
Early Detection of Breast Cancer Using Pretrained AlexNet Convolutional Neural Network
B Guanulema, D Osorio-Ordóñez… - 2023 Fourth …, 2023 - ieeexplore.ieee.org
Early detection of breast cancer is crucial in reducing mortality rates among women.
Mammography imaging is an effective diagnostic technique, but it can be difficult to …
Mammography imaging is an effective diagnostic technique, but it can be difficult to …
Topological Analysis Techniques for Improving Neural Network Performance in COVID-19 Detection Using Persistent Homology
I Reyes, K Cáceres-Benítez, A Marcillo, A Vera… - … on Computer Science …, 2023 - Springer
In this study, we employ topological data analysis techniques on neural networks applied in
COVID-19 detection, aiming to improve their predictive power. Leveraging the power of …
COVID-19 detection, aiming to improve their predictive power. Leveraging the power of …
Development of a Convolutional Neural Network for Detection of Ovarian Cancer Based on Computed Tomography Images
G Narvaez-Chunillo, R Ordoñez-Sanchez… - … on Computer Science …, 2023 - Springer
Ovarian cancer is one of the most frequent gynecologic malignancies in women, but it is
often detected in late stage, leaving patients with little time to follow a successful therapy …
often detected in late stage, leaving patients with little time to follow a successful therapy …
Machine Learning for Drug Recommendation Based on Opinion Analysis of Drug Reviews
K Bosmediano-Angos, A Arias-Viñansaca… - … on Computer Science …, 2023 - Springer
Access to reliable medical information in the digital era remains a challenge due to the
dispersion of data, making it difficult to improve the health of users. Medication errors are a …
dispersion of data, making it difficult to improve the health of users. Medication errors are a …
Analysis of Epileptic Seizures Using 1D Convolutional Neural Network for Epilepsy Prediction
DL Sevilla-Flores, DA Quinteros-Sarmiento… - … on Computer Science …, 2023 - Springer
Epilepsy is a neuronal disease where electrical discharges occur at focal or general level on
the surface of the brain resulting in involuntary seizures of the patient and especially …
the surface of the brain resulting in involuntary seizures of the patient and especially …
Early Detection of Breast Cancer Using Forward Backpropagation Artificial Neural Network
D Solano-Orrala, N López-Saquisilí… - … on Computer Science …, 2023 - Springer
Breast cancer can be a painful and distressing experience for both patients and their loved
ones. Early detection is crucial for improving outcomes, but unfortunately, doctors may not …
ones. Early detection is crucial for improving outcomes, but unfortunately, doctors may not …