Anatomie et physiologie de l’oreille externe

Encyclopédie médico-chirurgicale. Oto-rhino-laryngologie, Journal Year: 2025, Volume and Issue: 40(1), P. 1 - 14

Published: Jan. 17, 2025

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Advanced genetic image encryption algorithms for intelligent transport systems

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110162 - 110162

Published: Feb. 17, 2025

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Hyperbox-based virtual sample generation for single sample face and ear recognition

Signal Image and Video Processing, Journal Year: 2025, Volume and Issue: 19(6)

Published: April 12, 2025

Language: Английский

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Palmprint Recognition: Extensive Exploration of Databases, Methodologies, Comparative Assessment, and Future Directions

Applied Sciences, Journal Year: 2023, Volume and Issue: 14(1), P. 153 - 153

Published: Dec. 23, 2023

This paper presents a comprehensive survey examining the prevailing feature extraction methodologies employed within biometric palmprint recognition models. It encompasses critical analysis of extant datasets and comparative study algorithmic approaches. Specifically, this review delves into systems, focusing on different methodologies. As dataset wields profound impact recognition, our meticulously describes 20 extensively recognized datasets. Furthermore, we classify these two distinct classes: contact-based contactless-based Additionally, propose novel taxonomy to categorize approaches line-based approaches, texture descriptor-based subspace learning-based methods, local direction encoding-based deep architecture Within each class, most foundational publications are reviewed, highlighting their core contributions, utilized, efficiency assessment metrics, best outcomes achieved. Finally, open challenges emerging trends that deserve further attention elucidated push progress in future research.

Language: Английский

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Federated Learning for Multi-institutional on 3D Brain Tumor Segmentation

Published: April 24, 2024

Accurate segmentation of brain tumours images is crucial for diagnosis, treatment planning, and monitoring disease progression. However, acquiring sufficient medical imaging data deep learning models challenging, especially when sharing across institutions not feasible due to legal, privacy, technical concerns. In this work, we propose federated techniques with a 3D U-Net model on the BraTS 2020 dataset segment tumour lesions without patient data. Our semantic achieved high Dice similarity coefficients 0.861, 0.826, 0.803, Hausdorff distances (95%) 25.161, 9.419, 8.792 mm whole tumour, core, enhancing respectively. These results were comparable those centralized model, which similar distances. Furthermore, our quantitative final test set demonstrate that solution exhibited remarkable performance, achieving scores 0.896, 0.873, 0.868, accompanied by 23.611, 12.208, 11.088 mm. This study highlights potential multi-institutional its implications privacy preservation in imaging.

Language: Английский

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Human Cutaneous Leishmaniasis in North Africa and Its Threats to Public Health: A Statistical Study Focused on Djelfa (Algeria)

Microorganisms, Journal Year: 2023, Volume and Issue: 11(10), P. 2608 - 2608

Published: Oct. 22, 2023

Cutaneous leishmaniasis, the most common form of causes long-term skin lesions on exposed areas skin. It is caused by a protozoan parasite belonging to genus Leishmania and transmitted via infected phlebotomine sand flies. In North Africa, particularly Algeria, disease represents major public health problem. This retrospective study, which focuses agropastoral region Djelfa (central Algeria) during period 16 years, from 2006 2021, part surveillance cutaneous leishmaniasis identify key factors favouring its probable spread. The analyzed data reveal that this more prevalent in male patients (53.60%) highly widespread vast area 66,415 km2 with total 3864 CL cases, reaching peak 1407 cases 2006. Statistically, Pearson correlation validated p-value shows, an original sometimes unexpected way, certain factors, such as temperature linked climate change, are playing significant role spread surrounding regions. concentration population some specific rural limited or nonexistent access services another potential factor transmission. results were highlighted coefficient (r=0.66) less than 0.01. While there currently no vaccine prophylactic drug available, our research preliminary approach addresses various epidemiological aspects disease. paves way for proactive preventive strategy involving control vector-borne diseases.

Language: Английский

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The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias*

Published: Sept. 25, 2023

The paper provides a summary of the 2023 Unconstrained Ear Recognition Challenge (UERC), benchmarking effort focused on ear recognition from images acquired in uncontrolled environments. objective challenge was to evaluate effectiveness current techniques challenging dataset while analyzing two distinct aspects, i.e., verification performance and bias with respect specific demographic factors, gender ethnicity. Seven research groups participated submitted seven approaches that ranged descriptor-based methods deep-learning models ensemble relied multiple data representations maximize minimize bias. A comprehensive investigation into is presented, as well an in-depth analysis associated differentials due differences results suggest wide variety (e.g., transformers, convolutional neural networks, models) capable achieving competitive results, but also all still exhibit considerable both To promote further development unbiased effective models, starter kit UERC together baseline model, training test made available from: http://ears.fri.uni-lj.si/

Language: Английский

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Anti-Software Attack Ear Identification System Using Deep Feature Learning and Blockchain Protection

Symmetry, Journal Year: 2024, Volume and Issue: 16(1), P. 85 - 85

Published: Jan. 9, 2024

Ear recognition has made good progress as an emerging biometric technology. However, the performance, generalization ability, and feature robustness of ear systems based on hand-crafted features are relatively poor. With development deep learning, these problems have been partly overcome. performance existing still needs to be improved when facing unconstrained databases in realistic scenarios. Another critical problem is that most with template vulnerable software attacks disclose users’ privacy even bring down system. This paper proposes a software-attack-proof system using learning blockchain protection address generally poor face First, we propose accommodative DropBlock (AccDrop) generate drop masks adaptive shapes. It advantage over coping databases. Second, introduce simple parameterless attention module uses 3D weights refine output from convolutional layer. To protect security database user’s privacy, use Merkle tree nodes store templates, ensuring determinism root node smart contract. We achieve Rank-1 (R1) accuracies 83.87% 96.52% AWE EARVN1.0 databases, which outperform advanced systems.

Language: Английский

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B3D-EAR: Binarized 3D descriptors for ear-based human recognition

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123580 - 123580

Published: Feb. 28, 2024

Language: Английский

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SE-Half-UNet: Accurate and Low-Cost Retinal Vessel Segmentation from Fundus Images

Published: April 24, 2024

Accurate retinal vessel segmentation from eye fundus images is a major challenge in automated methods. U-Net has been widely used medical image segmentation, and its effectiveness led researchers to propose various variants. However, most of these variants are resource-intensive, suggesting that further development needed. This study introduces novel approach called SE-Half-UNet, which derives the Half-UNet framework by incorporating Squeeze-and-Excitation (SE) Module bolster network's representative capacity emphasizing channel relationships within feature maps. Our method achieves superior performance with high F1-Score 0.8303 0.8372 for DRIVE CHASE_DB datasets, respectively. new facilitates accurate analysis encourages computer research advances.

Language: Английский

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