المؤلفون: Priyanka Nandal, Sudesh Pahal, Ashish Khanna, Placido Rogerio Pinheiro

المصدر: IEEE Access, Vol 12, Pp 176155-176170 (2024)

مصطلحات موضوعية: Deep learning, generative adversarial network, medical image enhancement, Real-ESRGAN, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10752667/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/ed114c200c7a48abbf79965847906125

المؤلفون: Showrov Islam, Md. Tarek Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim, M. F. Mridha, Md. Mohsin Kabir, Nobuyoshi Asai, Jungpil Shin

المصدر: IEEE Access, Vol 12, Pp 35728-35753 (2024)

مصطلحات موضوعية: Generative adversarial networks, medical imaging, medical image synthesis, medical image enhancement, medical image augmentation, medical image segmentation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10445413/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/581d7603f99c4153b909d8112cd5a2c7

المؤلفون: Li Hui

المصدر: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

مصطلحات موضوعية: conditional entropy, generative adversarial network, image chunk size, medical image enhancement, 01a25, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2444-8656

URL الوصول: https://doaj.org/article/499ff5c02e284b95a699e40b6cd11da7

المؤلفون: Shoffan Saifullah, Rafał Dreżewski

المصدر: Applied Sciences, Vol 14, Iss 2, p 923 (2024)

مصطلحات موضوعية: medical image enhancement, particle swarm optimization (PSO), histogram equalization, medical imaging, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/2/923; https://doaj.org/toc/2076-3417; https://doaj.org/article/fdab05af20f24b399cb5e7fae245ddb6

الاتاحة: https://doi.org/10.3390/app14020923
https://doaj.org/article/fdab05af20f24b399cb5e7fae245ddb6

المؤلفون: Jinyun Jiang, Jianchen Cai, Qile Zhang, Kun Lan, Xiaoliang Jiang, Jun Wu

المصدر: Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 10479-10494 (2023)

مصطلحات موضوعية: medical image enhancement, metaheuristics, group theory, intensity transformation, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1551-0018

URL الوصول: https://doaj.org/article/d705202e5db7409292f47a664103e30b

المؤلفون: K Kannan, S Arumuga Perumal

المصدر: Indian Journal of Science and Technology, 16(32), 2534-2539, (2023-08-28)

مصطلحات موضوعية: Proton Density Magnetic Resonance Images, Medical Image Enhancement, Unsharp Mask Filter, Histogram Equalization, Spatial Frequency, Mean Gradient, Sharpness

Relation: eissn:0974-5645; https://doi.org/10.17485/IJST/v16i32.747; oai:zenodo.org:13359534

الاتاحة: https://doi.org/10.17485/IJST/v16i32.747
https://indjst.org/articles/enhancement-of-proton-density-magnetic-resonance-images-using-histogram-equalization-and-unsharp-masking

المؤلفون: Mostafa Satea

المصدر: Nested approach for X-ray image enhancement based on contrast adaptive using histogram equalization, 31(1), 417-422, (2023-07-01)

مصطلحات موضوعية: Contrast-limited adaptive histogram equalization, Medical image enhancement, RGB, X-ray images, YCbCr

Relation: oai:zenodo.org:8133384

الاتاحة: https://doi.org/10.11591/ijeecs.v31.i1.pp417-422

المؤلفون: Anam Mehmood, Ishtiaq Rasool Khan, Hassan Dawood, Hussain Dawood

المصدر: Mathematical Biosciences and Engineering, Vol 18, Iss 4, Pp 4311-4326 (2021)

مصطلحات موضوعية: clustering algorithm, computed tomography, high dynamic range, tone-mapping, medical image enhancement, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1551-0018

URL الوصول: https://doaj.org/article/ff539e3b75764636b56ef2e9ab15b084

المؤلفون: Ahmed Elaraby, Ayman Taha

المصدر: International Journal of Electrical and Computer Engineering (IJECE), 12(2), 1449-1455, (2022-04-01)

مصطلحات موضوعية: CT scan, Liver, Medical image enhancement, Multimodal, MRI scan

Relation: oai:zenodo.org:6767413

الاتاحة: https://doi.org/10.11591/ijece.v12i2.pp1449-1455

المؤلفون: Arnal, Josep, Súcar Segarra, Luis Beltrán

المساهمون: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial, Computación de Altas Prestaciones y Paralelismo (gCAPyP)

مصطلحات موضوعية: CT images, Fuzzy logic, Fuzzy metric, Medical image enhancement, Mixed impulsive and Gaussian noise, Noise reduction

Relation: https://doi.org/10.3390/math10193652; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098156-B-C54; Arnal J, Súcar L. Fast Method Based on Fuzzy Logic for Gaussian-Impulsive Noise Reduction in CT Medical Images. Mathematics. 2022; 10(19):3652. https://doi.org/10.3390/math10193652; http://hdl.handle.net/10045/128809

الاتاحة: http://hdl.handle.net/10045/128809
https://doi.org/10.3390/math10193652

المؤلفون: Gutiérrez Gil, Jorge

Thesis Advisors: Atienza Vicente, Carlos Manuel, Tur Valiente, Manuel, Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials

مصطلحات موضوعية: Método de los elementos finitos, Medicina personalizada, Remodelación ósea, Identificación de parámetros, Imagen médica, Viabilidad clínica, Mejora de la imagen médica, Hueso trabecular, Mecánica computacional, Algoritmos mecanosensoriales, Optimización topológica, Optimización bayesiana, Algoritmos genéticos, Simulación dental, Identificación de cargas, Finite element method, Personalized medicine, Patient specific, Bone remodelling, Parameter identification, In silico, Medical image, Clinical feasibility, Optimization, Medical image enhancement, Trabecular bone, Computationam mechanics, Mechanosensory algorithms, Topology optimization, Bayesian optimization, Genetic algorithms, Dental simulation, Load identification, INGENIERIA MECANICA

Relation: info:eu-repo/grantAgreement/GVA//FDGENT%2F2018/ES/SUBVENCIONES PARA LA FORMACIÓN DE DOCTORES Y DOCTORAS EN EMPRESAS VALENCIANAS (FDEGENT) - 2018

الاتاحة: http://hdl.handle.net/10251/202059

المؤلفون: Jianning Chi, Yifei Zhang, Xiaosheng Yu, Ying Wang, Chengdong Wu

المصدر: Sensors; Volume 19; Issue 15; Pages: 3348

مصطلحات موضوعية: medical image enhancement, deep convolutional neural network, dense connection, inception structure, residual network

وصف الملف: application/pdf

Relation: Biosensors; https://dx.doi.org/10.3390/s19153348

الاتاحة: https://doi.org/10.3390/s19153348

المؤلفون: Intriago Pazmiño, Monserrate, Ibarra Fiallo, Julio, Guzmán Castillo, Adán, Alonso Calvo, Raúl, Crespo, José

المصدر: IJIMAI, ISSN 1989-1660, Vol. 8, Nº. 4, 2023, pags. 117-126

مصطلحات موضوعية: Contrast Improvement Metrics, Contrast Quantitative Measures, Fundus Images, Mammography Images, Medical Image Enhancement

وصف الملف: application/pdf

Relation: https://dialnet.unirioja.es/servlet/oaiart?codigo=9904606

الاتاحة: https://dialnet.unirioja.es/servlet/oaiart?codigo=9904606

المؤلفون: Josep Arnal, Luis Súcar

المساهمون: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial, Computación de Altas Prestaciones y Paralelismo (gCAPyP)

المصدر: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Mathematics; Volume 10; Issue 19; Pages: 3652

مصطلحات موضوعية: Fuzzy logic, CT images, fuzzy logic, fuzzy metric, medical image enhancement, mixed impulsive and Gaussian noise, noise reduction, Medical image enhancement, General Mathematics, Computer Science (miscellaneous), Fuzzy metric, Mixed impulsive and Gaussian noise, Noise reduction, Engineering (miscellaneous)

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f51f34420f1c5636273c06031adc3f64
http://hdl.handle.net/10045/128809

المؤلفون: Rasti, Pejman, Daneshmand, Morteza, Alisinanoglu, Fatih, Ozcinar, Cagri, Anbarjafari, Gholamreza

المساهمون: Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA)

المصدر: 2016 24th Signal Processing and Communication Application Conference (SIU)
https://univ-angers.hal.science/hal-02528732
2016 24th Signal Processing and Communication Application Conference (SIU), May 2016, Zonguldak, Turkey. pp.153-156, ⟨10.1109/SIU.2016.7495700⟩

مصطلحات موضوعية: medical image enhancement, medical image processing, medical image sharpening, stationary wavelet transformation, [SPI]Engineering Sciences [physics]

جغرافية الموضوع: Zonguldak, Turkey

Relation: hal-02528732; https://univ-angers.hal.science/hal-02528732; https://univ-angers.hal.science/hal-02528732/document; https://univ-angers.hal.science/hal-02528732/file/rasti2016.pdf; OKINA: ua17508

الاتاحة: https://univ-angers.hal.science/hal-02528732
https://univ-angers.hal.science/hal-02528732/document
https://univ-angers.hal.science/hal-02528732/file/rasti2016.pdf
https://doi.org/10.1109/SIU.2016.7495700

المؤلفون: Fu, Lidan, Lu, Binchun, Tian, Jie, Hu, Zhenhua

مصطلحات موضوعية: Medical image enhancement, Fluorescence imaging, Cycle-consistent generative adversarial, network, No-reference metric, IMAGE, RESOLUTION, Engineering, Radiology, Nuclear Medicine & Medical Imaging, Biomedical

Relation: COMPUTERIZED MEDICAL IMAGING AND GRAPHICS; http://ir.ia.ac.cn/handle/173211/54143; http://ir.ia.ac.cn/handle/173211/54144

الاتاحة: http://ir.ia.ac.cn/handle/173211/54143
http://ir.ia.ac.cn/handle/173211/54144
https://doi.org/10.1016/j.compmedimag.2023.102216

المؤلفون: Tan Yunlan, Li Guangyao, Duan Huixian, Li Chao

المصدر: Journal of Intelligent Systems, Vol 23, Iss 1, Pp 83-94 (2014)

مصطلحات موضوعية: medical image enhancement, homomorphic filtering, dyadic wavelet transform, mr images, Science, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/0334-1860; https://doaj.org/toc/2191-026X

URL الوصول: https://doaj.org/article/076009935357402f87faa77645fcefa6

المؤلفون: Wang, J., Qiao, L., Lv, H., Lv, Z.

المصدر: IEEE/ACM Transactions on Computational Biology & Bioinformatics.

مصطلحات موضوعية: Natural Sciences, Computer and Information Sciences, Computer Sciences, Naturvetenskap, Data- och informationsvetenskap, Datavetenskap (datalogi), Engineering and Technology, Medical Engineering, Medical Image Processing, Teknik och teknologier, Medicinteknik, Medicinsk bildbehandling, Medical and Health Sciences, Clinical Medicine, Radiology, Nuclear Medicine and Medical Imaging, Medicin och hälsovetenskap, Klinisk medicin, Radiologi och bildbehandling, Convolutional neural networks, Diseases, Magnetic resonance imaging, Mathematical models, Medical diagnostic imaging, Predictive models, Superresolution, Deep neural networks, Diagnosis, Image analysis, Image enhancement, Image fusion, Magnetism, Medical imaging, Optical resolving power, Positron emission tomography, Resonance, Signal to noise ratio, Composites technology, Convolutional neural network, Diagnostic analysis, Medical image enhancement, Multi-modal, Neural networks structure, Transfer learning

وصف الملف: print

URL الوصول: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-474376

المؤلفون: Xiaosheng Yu, Jianning Chi, Chengdong Wu, Ying Wang, Yifei Zhang

المصدر: Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 15
Sensors, Vol 19, Iss 15, p 3348 (2019)

مصطلحات موضوعية: residual network, Computer science, Structural similarity, Image quality, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, inception structure, 02 engineering and technology, lcsh:Chemical technology, Biochemistry, Convolutional neural network, Article, 030218 nuclear medicine & medical imaging, Analytical Chemistry, 03 medical and health sciences, 0302 clinical medicine, deep convolutional neural network, 0202 electrical engineering, electronic engineering, information engineering, lcsh:TP1-1185, Computer vision, medical image enhancement, Electrical and Electronic Engineering, Instrumentation, Contextual image classification, business.industry, Image segmentation, Superresolution, Atomic and Molecular Physics, and Optics, Noise, dense connection, 020201 artificial intelligence & image processing, Artificial intelligence, business, Data compression

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4789ee5dd59d4d09fc7edf6ebb9a1b80
https://pubmed.ncbi.nlm.nih.gov/31366173

المؤلفون: Casciaro S., Conversano F., Pisani P., Greco A., Casciaro E., Di Paola M., Franchini R., Lay-Ekuakille A., Leporatti S., Gigli G.

المساهمون: Casciaro, S., Conversano, F., Pisani, P., Greco, A., Casciaro, E., Di Paola, M., Franchini, R., Lay-Ekuakille, A., Leporatti, S., Gigli, G.

مصطلحات موضوعية: halloysite clay nanotube, medical image enhancement, nanoimaging, ultrasound contrast agents

وصف الملف: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-1-5090-5151-9; ispartofbook:2015 1st Workshop on Nanotechnology in Instrumentation and Measurement, NANOFIM 2015; 1st Workshop on Nanotechnology in Instrumentation and Measurement, NANOFIM 2015; firstpage:122; lastpage:125; numberofpages:4; http://hdl.handle.net/11587/442993; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85052216834

الاتاحة: http://hdl.handle.net/11587/442993
https://doi.org/10.1109/NANOFIM.2015.8425363