Cargando…

Towards More Accurate and Complete Heterogeneous Iris Segmentation Using a Hybrid Deep Learning Approach

Accurate iris segmentation is a crucial preprocessing stage for computer-aided ophthalmic disease diagnosis. The quality of iris images taken under different camera sensors varies greatly, and thus accurate segmentation of heterogeneous iris databases is a huge challenge. At present, network archite...

Descripción completa

Detalles Bibliográficos
Autores principales:	Meng, Yuan, Bao, Tie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501181/ https://www.ncbi.nlm.nih.gov/pubmed/36135411 http://dx.doi.org/10.3390/jimaging8090246

Ejemplares similares

Deep Iris: Deep Learning for Gender Classification Through Iris Patterns
por: Khalifa, Nour Eldeen M., et al.
Publicado: (2019)

Self-Supervised Learning Framework toward State-of-the-Art Iris Image Segmentation
por: Putri, Wenny Ramadha, et al.
Publicado: (2022)

Iris Recognition Method Based on Parallel Iris Localization Algorithm and Deep Learning Iris Verification
por: Wei, Yinyin, et al.
Publicado: (2022)

Deep Learning for Anterior Segment Optical Coherence Tomography to Predict the Presence of Plateau Iris
por: Wanichwecharungruang, Boonsong, et al.
Publicado: (2021)

Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework: more accurate and more convenient
por: Jiao, Chong, et al.
Publicado: (2019)

Accurate segmentation of neonatal brain MRI with deep learning
por: Richter, Leonie, et al.
Publicado: (2022)

Hybrid Deep Learning Approach for Accurate Tumor Detection in Medical Imaging Data
por: Cifci, Mehmet Akif, et al.
Publicado: (2023)

Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images
por: Salvi, Massimo, et al.
Publicado: (2022)

RGSB-UNet: Hybrid Deep Learning Framework for Tumour Segmentation in Digital Pathology Images
por: Zhao, Tengfei, et al.
Publicado: (2023)

The complete mitochondrial genome of the hybrid of Haliotis discus hannai (♀) × Haliotis Iris (♂)
por: Guo, Zhansheng, et al.
Publicado: (2019)

A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
por: Thapar, Puneet, et al.
Publicado: (2022)

Supervised Contrastive Learning and Intra-Dataset Adversarial Adaptation for Iris Segmentation
por: Zhou, Zhiyong, et al.
Publicado: (2022)

Deep Learning Hybrid Techniques for Brain Tumor Segmentation
por: Munir, Khushboo, et al.
Publicado: (2022)

Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models
por: Kim, Yong-Woon, et al.
Publicado: (2021)

Retracted: A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
por: Healthcare Engineering, Journal of
Publicado: (2023)

ExpACVO-Hybrid Deep learning: Exponential Anti Corona Virus Optimization enabled Hybrid Deep learning for tongue image segmentation towards diabetes mellitus detection
por: Mathew, Jimsha K., et al.
Publicado: (2023)

Towards better heartbeat segmentation with deep learning classification
por: Silva, Pedro, et al.
Publicado: (2020)

Brachytherapy and anterior segment imaging in iris melanoma
por: Song, Jin Soo Andy, et al.
Publicado: (2017)

Brachytherapy and anterior segment imaging in iris melanoma
por: Song, Jin Soo Andy, et al.
Publicado: (2017)

A deep learning method to more accurately recall known lysine acetylation sites
por: Wu, Meiqi, et al.
Publicado: (2019)

Novel deep learning model for more accurate prediction of drug-drug interaction effects
por: Lee, Geonhee, et al.
Publicado: (2019)

Complete anterior segment reconstruction: Corneal transplantation and implantation of an iris prosthesis and IOL in a single surgery
por: Mayer, Christian, et al.
Publicado: (2021)

A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images
por: Gong, Zhaoxuan, et al.
Publicado: (2021)

Automatic and Accurate Calculation of Rice Seed Setting Rate Based on Image Segmentation and Deep Learning
por: Guo, Yixin, et al.
Publicado: (2021)

Deep Learning Networks Accurately Detect ST-Segment Elevation Myocardial Infarction and Culprit Vessel
por: Wu, Lin, et al.
Publicado: (2022)

Automatic Masseter Muscle Accurate Segmentation from CBCT Using Deep Learning-Based Model
por: Jiang, Yiran, et al.
Publicado: (2022)

An Efficient and Accurate Iris Recognition Algorithm Based on a Novel Condensed 2-ch Deep Convolutional Neural Network
por: Liu, Guoyang, et al.
Publicado: (2021)

Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Face, and Finger Vein Traits
por: Alay, Nada, et al.
Publicado: (2020)

Biometric identification of Black Bengal goat: unique iris pattern matching system vs deep learning approach
por: Laishram, Menalsh, et al.
Publicado: (2023)

Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses
por: Lima, Estela de Oliveira, et al.
Publicado: (2020)

Retraction: Brachytherapy and anterior segment imaging in iris melanoma
Publicado: (2018)

The complete chloroplast genome sequence of Iris tectorum
por: Feng, Jinglu, et al.
Publicado: (2021)

Towards Application-Driven Task Offloading in Edge Computing Based on Deep Reinforcement Learning
por: Sun, Ming, et al.
Publicado: (2021)

A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
por: Arab, Ali, et al.
Publicado: (2020)

Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection
por: Hammad, Mohamed, et al.
Publicado: (2023)

A Hybrid Approach to Industrial Augmented Reality Using Deep Learning-Based Facility Segmentation and Depth Prediction
por: Kim, Minseok, et al.
Publicado: (2021)

A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI
por: Haq, Ejaz Ul, et al.
Publicado: (2022)

A Semiautomated Deep Learning Approach for Pancreas Segmentation
por: Huang, Meixiang, et al.
Publicado: (2021)

Towards accurate characterization of clonal heterogeneity based on structural variation
por: Fan, Xian, et al.
Publicado: (2014)

A hybrid deep learning approach to vertexing
por: Schreiner, Henry Fredrick
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_58po0vi6b66jarvfl5v0eo0ctf