Jesús Salido
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View article: Multimodal Deep Learning for Cyanobacteria Classification: A Fusion of CNN and Transformer Architectures
Multimodal Deep Learning for Cyanobacteria Classification: A Fusion of CNN and Transformer Architectures Open
Cyanobacteria play a fundamental role in aquatic ecosystems, contributing to global biogeochemical cycles and serving as indicators of environmental change. Their classification is critical for monitoring water quality, detecting harmful a…
View article: Real-Time Edge Computing vs. GPU-Accelerated Pipelines for Low-Cost Microscopy Applications
Real-Time Edge Computing vs. GPU-Accelerated Pipelines for Low-Cost Microscopy Applications Open
Environmental microscopy is crucial for analyzing microorganisms, but traditional optical microscopes are often expensive, bulky, and impractical for field use. AI-driven image recognition, powered by deep learning models like YOLO, enhanc…
View article: GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning
GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning Open
The digitalization of traditional glass slide microscopy into whole slide images has opened up new opportunities for pathology, such as the application of artificial intelligence techniques. Specialized software is necessary to visualize a…
View article: Comparison of deep learning models for digital H&E staining from unpaired label-free multispectral microscopy images
Comparison of deep learning models for digital H&E staining from unpaired label-free multispectral microscopy images Open
The results can be satisfactorily evaluated by metrics that use as reference image a chemically stained sample and the digital staining images of the reference sample with prior digital unstaining. These metrics demonstrate that generative…
View article: A review on low‐cost microscopes for <scp>O</scp>pen <scp>S</scp>cience
A review on low‐cost microscopes for <span>O</span>pen <span>S</span>cience Open
This article presents a review after an exhaustive search that yielded 23 works carried out in the last decade for the availability of optical microscopes with open hardware as a low‐cost alternative to commercial systems. These works were…
View article: MicroHikari3D: an automated DIY digital microscopy platform with deep learning capabilities
MicroHikari3D: an automated DIY digital microscopy platform with deep learning capabilities Open
A microscope is an essential tool in biosciences and production quality laboratories for unveiling the secrets of microworlds. This paper describes the development of MicroHikari3D, an affordable DIY optical microscopy platform with automa…
View article: Automatic Handgun Detection with Deep Learning in Video Surveillance Images
Automatic Handgun Detection with Deep Learning in Video Surveillance Images Open
There is a great need to implement preventive mechanisms against shootings and terrorist acts in public spaces with a large influx of people. While surveillance cameras have become common, the need for monitoring 24/7 and real-time respons…
View article: A Low-Cost Automated Digital Microscopy Platform for Automatic Identification of Diatoms
A Low-Cost Automated Digital Microscopy Platform for Automatic Identification of Diatoms Open
Currently, microalgae (i.e., diatoms) constitute a generally accepted bioindicator of water quality and therefore provide an index of the status of biological ecosystems. Diatom detection for specimen counting and sample classification are…
View article: Robustness to adversarial examples can be improved with overfitting
Robustness to adversarial examples can be improved with overfitting Open
Deep learning (henceforth DL) has become most powerful machine learning methodology. Under specific circumstances recognition rates even surpass those obtained by humans. Despite this, several works have shown that deep learning produces o…
View article: Automated Diatom Classification (Part A): Handcrafted Feature Approaches
Automated Diatom Classification (Part A): Handcrafted Feature Approaches Open
This paper deals with automatic taxa identification based on machine learning methods. The aim is therefore to automatically classify diatoms, in terms of pattern recognition terminology. Diatoms are a kind of algae microorganism with high…
View article: Influence of Texture and Colour in Breast TMA Classification
Influence of Texture and Colour in Breast TMA Classification Open
Breast cancer diagnosis is still done by observation of biopsies under the microscope. The development of automated methods for breast TMA classification would reduce diagnostic time. This paper is a step towards the solution for this prob…