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Found 7 papers, 0 papers with code
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
The performance of the latest 1D CNN (1D-Justo-LiuNet) and two recent 2D CNNs (nnU-net and 2D-Justo-UNet-Simple) for cloud segmentation and classification is assessed.
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties
To this date, studies focusing on the prodromal diagnosis of Lewy body diseases (LBDs) based on quantitative analysis of graphomotor and handwriting difficulties are missing.
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis
Therefore, in this study, we follow up on our previous research, and we aim to explore the utilization of various approaches of fractional order derivative (FD) in the analysis of PD dysgraphia.
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability
Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation.
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation
In this work, we analysed the power of conventional speech features quantifying imprecise articulation, dysprosody, speech dysfluency and speech quality deterioration extracted from a specialized poem recitation task to discriminate dysarthric and healthy speech.
Towards Robust Voice Pathology Detection
Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression tracking and even effective treatment of pathological voices.
Voice Pathology Detection Using Deep Learning: a Preliminary Study
This paper describes a preliminary investigation of Voice Pathology Detection using Deep Neural Networks (DNN).
