5 papers
Initialization matters in few-shot adaptation of vision-language models for histopathological image classification
Pablo Meseguer, Rocío del Amor, Valery Naranjo
Vision language models (VLM) pre-trained on datasets of histopathological image-caption pairs enabled zero-shot slide-level classification. The ability of VLM image encoders to ext…
Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning
Andrés Laveda-Martínez, Natalia P. García-de-la-Puente, Fernando García-Torres +6
Non-destructive testing (NDT) is essential in ceramic manufacturing to ensure the quality of components without compromising their integrity. In this context, Optical Coherence Tom…
BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization
Alejandro Golfe, Natalia P. García-de-la-puente, Adrián Colomer +1
Accurately identifying oocytes that progress to the blastocyst stage is crucial in reproductive medicine, but the limited availability of annotated high-quality embryo images prese…
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content
Miguel López-Pérez, Marco Miani, Valery Naranjo +2
Generative models are popular for medical imaging tasks such as anomaly detection, feature extraction, data visualization, or image generation. Since they are parameterized by deep…
Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging
Zahra Tabatabaei, Adrián Colomer, JAvier Oliver Moll +1
Computer Aid Diagnosis (CAD) has developed digital pathology with Deep Learning (DL)-based tools to assist pathologists in decision-making. Content-Based Histopathological Image Re…