Titlebook: Biomedical Engineering Systems and Technologies; 15th International J Ana Cecília A. Roque,Denis Gracanin,Hugo Gamboa Conference proceeding

抱狗不敢前

On the Impact of the Vocabulary for Domain-Adaptive Pretraining of Clinical Language Models,ocabulary of the language model to the target domain; however, the choice of vocabulary size is not particularly sensitive with respect to downstream performance, while the benefits of subword averaging is reduced after a modest amount of domain-adaptive pretraining.

jungle

,A Multi-Modal Dataset (MMSD) for?Acute Stress Bio-Markers,ent in order to study their correlation with mental stress: electrocardiogram (.), photoplethysmogram (.), electrodermal activity (.) and electromyogram (.)..A statistical analysis is carried out for preliminary results and for protocol validation before a deeper analysis using artificial intelligence algorithms in future work.

gorgeous

First Version of a Support System for the Medical Diagnosis of Pathologies in the Larynx,oing the evaluation. Classifying and recognizing speech pathologies in a non-invasive way using acoustic analysis saves time for the patient and the specialist while allowing analyzes to be objective and efficient. This work presents a detailed description of an aid system for diagnosing speech path

Oligarchy

Analysis of Extracellular Vesicle Data on Fluorescence and Atomic Force Microscopy Images,se indicators, tissue regeneration, and drug carriers. We developed two workflows to analyze EV data based on microscopy images reliably. The first workflow enables determining the total number of fluorophores per EV by analyzing the photobleaching step counts in a stepwise photobleaching experiment

大門(mén)在匯總

,Automated Segmentation of?Patterned Cells in?Micropatterning Microscopy Images,cess is time-consuming and non-trivial task. For the simplification and speedup of such analyses, we describe a method for fully automated analysis of micro-patterned cells in fluorescence microscopy images. An approach based on an evolution strategy allows the grid extraction of the assays to estim

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Tempor

數(shù)量

,Parallel Lossy Compression for?Large FASTQ Files, the bases and quality scores components taking into account both information at the same time, while preserving variant calling. The resulting FASTQ file achieves better compression than the original data. Here, we introduce a strategy that splits the FASTQ file into . blocks and processes them in

kidney

Analogy

,High-Level Features for?Human Activity Recognition and?Modeling,and a unique combination of HLFs defines an activity. In this article, we propose and evaluate a concise set of six HLFs on and across the CSL-SHARE and UniMiB SHAR datasets, showing that HLFs can be successfully extracted with machine learning methods and that in this HLF-space activities can be cl