Suchergebnisse - Recent Advances in Deep Learning for Biomedical Signal Processing*

Review of Biomedical Signal-Based Control Systems for Electric Wheelchairs.

Autoren: Abdulkareem, Hanan Jabbar Gharghan, Sadik Kamel Mutashar, Saad

Quelle: International Journal of Engineering & Technology Innovation; Jul2025, Vol. 15 Issue 3, p332-373, 42p

Schlagwörter: ELECTRIC wheelchairs, ASSISTIVE technology, ERGONOMICS, MULTIMODAL user interfaces, BIOMEDICAL signal processing, FEEDBACK control systems, ELECTROPHYSIOLOGY

Signal to Image Conversion and Convolutional Neural Networks for Physiological Signal Processing: A Review

Autoren: K. E. Ch Vidyasagar K. Revanth Kumar G. N. K. Anantha Sai et al.

Quelle: IEEE Access, Vol 12, Pp 66726-66764 (2024)

Schlagwörter: signal-to-image conversion, 03 medical and health sciences, machine learning, 0302 clinical medicine, convolutional neural networks, 0202 electrical engineering, electronic engineering, information engineering, deep learning, Biomedical signal analysis, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, physiological signals, TK1-9971

Zugangs-URL: https://doaj.org/article/8ae9f2ddfb0b4962b3c6c55a4a1dfc74

Computational Intelligence Approaches for Enhancing Biomedical Image Processing Applications Based on Breast Cancer

Autoren: Abdullahi, Isa Ibrahim, Iliyas, Iliyas Lefami, Zarma, Muhammad

Quelle: Biomedical Engineering ISBN: 9780850140330

Schlagwörter: Signal processing, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Deep Learning in Medical Image Analysis, Classification of Brain Tumor Type and Grade, Image Segmentation, Pattern recognition (psychology), Data science, Big data, Medical Imaging, Image processing, Artificial Intelligence, Health Sciences, Machine learning, Image (mathematics), Data mining, Computational intelligence, Life Sciences, Computer hardware, Applications of Deep Learning in Medical Imaging, Computer-Aided Detection, Digital signal processing, Computer science, 3. Good health, Algorithm, Neurology, Computer Science, Physical Sciences, Computation, Medical Image Analysis, Medicine, Image-Based Diagnosis, Computer vision, Medical imaging, Neuroscience

Zugangs-URL: https://mts.intechopen.com/articles/show/title/computational-intelligence-approaches-for-enhancing-biomedical-image-processing-applications-based-o

Current applications of deep learning in vertebral fracture diagnosis.

Autoren: Gu Y Wang Y Li M et al.

Quelle: Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA [Osteoporos Int] 2025 Nov; Vol. 36 (11), pp. 2071-2082. Date of Electronic Publication: 2025 Aug 06.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Springer International Country of Publication: England NLM ID: 9100105 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1433-2965 (Electronic) Linking ISSN: 0937941X NLM ISO Abbreviation: Osteoporos Int Subsets: MEDLINE

MeSH-Schlagworte: Deep Learning* , Spinal Fractures*/diagnostic imaging , Spinal Fractures*/diagnosis , Osteoporotic Fractures*/diagnostic imaging , Osteoporotic Fractures*/diagnosis, Humans ; Neural Networks, Computer

A review of image processing and analysis of computed tomography images using deep learning methods.

Autoren: Anderson D Ramachandran P Trapp J et al.

Quelle: Physical and engineering sciences in medicine [Phys Eng Sci Med] 2025 Sep 03. Date of Electronic Publication: 2025 Sep 03.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE

Reports from Shandong Normal University Describe Recent Advances in Clinical Trial Research (The Intelligent Gastrointestinal Metaplasia Assessment Based On Deformable Transformer With Token Merging).

Quelle: Clinical Oncology Week; 11/26/2024, p840-840, 1p

Schlagwörter: BIOMEDICAL signal processing, TRANSFORMER models, DEEP learning, PRECANCEROUS conditions

Advancing epileptic seizure recognition through bidirectional LSTM networks.

Autoren: Al-Marzouki, Sanaa

Quelle: Frontiers in Computational Neuroscience; 2025, p1-13, 13p

Schlagwörter: SEIZURES (Medicine), LONG short-term memory, EPILEPSY, DEEP learning, ELECTROENCEPHALOGRAPHY, STATISTICAL accuracy, BIOMEDICAL signal processing, MACHINE learning

PREFACE: A SPECIAL SELECTION ON RECENT ADVANCES IN BIOMECHANICAL ENGINEERING: PART II.

Autoren: Pitarch, Esteban Peña Ng, Eddie Y. K.

Quelle: Journal of Mechanics in Medicine & Biology; Nov2023, Vol. 23 Issue 9, p1-7, 7p

Schlagwörter: DEEP learning, ENGINEERING, CONVOLUTIONAL neural networks, ACOUSTIC signal processing

Recent advances in deep learning for protein-protein interaction: a review.

Autoren: Cui, Jiafu Yang, Siqi Yi, Litai et al.

Quelle: BioData Mining; 6/16/2025, Vol. 18 Issue 1, p1-23, 23p

Schlagwörter: ARTIFICIAL neural networks, ARTIFICIAL intelligence, MACHINE learning, COMPUTATIONAL biology, CONVOLUTIONAL neural networks, DEEP learning

Adaptive Multimodal Fusion in Vertical Federated Learning for Decentralized Glaucoma Screening.

Autoren: Jabbar, Ayesha Huang, Jianjun Jabbar, Muhammad Kashif et al.

Quelle: Brain Sciences (2076-3425); Sep2025, Vol. 15 Issue 9, p990, 24p

Schlagwörter: FEDERATED learning, RETINAL imaging, BIOMEDICAL signal processing

Advances in magnetic resonance imaging of the developing brain and its applications in pediatrics.

Autoren: Chen RK Li MY Zhao ZY et al.

Quelle: World journal of pediatrics : WJP [World J Pediatr] 2025 Jul; Vol. 21 (7), pp. 652-707. Date of Electronic Publication: 2025 May 30.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Springer International Publ Country of Publication: Switzerland NLM ID: 101278599 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-0687 (Electronic) NLM ISO Abbreviation: World J Pediatr Subsets: MEDLINE

MeSH-Schlagworte: Magnetic Resonance Imaging*/methods , Magnetic Resonance Imaging*/trends , Brain*/diagnostic imaging , Brain*/growth & development , Neuroimaging*/methods , Neurodevelopmental Disorders*/diagnostic imaging, Humans ; Child ; Adolescent ; Pediatrics ; Infant ; Child, Preschool ; Infant, Newborn ; Female ; Male

Advancements in Digital Signal Processing for Medical Communications: Enhancing Healthcare Data Transmission and Speech Signal Analysis.

Autoren: Mohamed Ismail, A. M. Meharjabeen, K. Kiruthika, C. et al.

Quelle: Cuestiones de Fisioterapia; 2024, Vol. 53 Issue 3, p444-452, 9p

Schlagwörter: DIGITAL signal processing, TELECOMMUNICATION, DIGITAL communications, MEDICAL communication, BIOTELEMETRY

Reports from Chengdu University of Technology Advance Knowledge in Lung Cancer (Enhancing Histopathological Medical Image Classification for Early Cancer Diagnosis Using Deep Learning and Explainable Ai - Lime & Shap).

Quelle: Cancer Weekly; 2/4/2025, p690-690, 1p

Schlagwörter: IMAGE recognition (Computer vision), ARTIFICIAL intelligence, BIOMEDICAL signal processing, MEDICAL screening, LUNG tumors, SIGNAL convolution

Geografische Kategorien: SICHUAN Sheng (China)

Consumers' Preference Recognition Based on Brain–Computer Interfaces: Advances, Trends, and Applications.

Autoren: Aldayel, Mashael Ykhlef, Mourad Al-Nafjan, Abeer

Quelle: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Sep2021, Vol. 46 Issue 9, p8983-8997, 15p

Schlagwörter: CONSUMER preferences, BIOMEDICAL signal processing, SIGNAL classification, SUPPORT vector machines, BRAIN-computer interfaces, CLASSIFICATION algorithms, NEUROMARKETING, MOLECULAR recognition

A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers.

Autoren: Zhang, Xiang Yao, Lina Wang, Xianzhi et al.

Quelle: Journal of Neural Engineering; Jun2021, Vol. 18 Issue 3, p1-44, 44p

How Can Animal Models Advance Research into High Frequency Oscillations: Guidelines for Recording, Detection and Analysis.

Autoren: Lisgaras, Christos Panagiotis Staba, Richard J. de la Prida, Liset M.

Quelle: Epilepsy Currents; July/Aug2025, Vol. 25 Issue 4, p286-293, 8p

Schlagwörter: ANIMAL models in research, EPILEPSY, NEUROBEHAVIORAL disorders, DETECTION algorithms, MATHEMATICAL models, TRANSLATIONAL research, FREQUENCIES of oscillating systems, ALZHEIMER'S disease

Spiking neural networks for biomedical signal analysis.

Autoren: Choi, Sang Ho

Quelle: Biomedical Engineering Letters; Sep2024, Vol. 14 Issue 5, p955-966, 12p

Special Issue on Intelligent Biomedical Data Analysis and Processing.

Autoren: Gupta, Deepak Castillo, Oscar Khanna, Ashish

Quelle: Intelligent Decision Technologies; 2021, Vol. 15 Issue 1, p13-17, 5p

Schlagwörter: ELECTRONIC data processing, DATA analysis, HEALTH facilities, ACTIVE learning, NAIVE Bayes classification, KNOWLEDGE representation (Information theory), DECISION support systems, BIOMEDICAL signal processing

Deep Learning in Biomedical Image and Signal Processing: A Survey.

Autoren: Omarov, Batyrkhan

Quelle: Computers, Materials & Continua; 2025, Vol. 85 Issue 2, p2195-2253, 59p

Schlagwörter: DEEP learning, BIOMEDICAL signal processing, DATA integration, DISCLOSURE, MEDICAL software, REGULATORY compliance, DETECTION algorithms, SIGNAL processing

A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy.

Autoren: Abdelhameed, Ahmed Bayoumi, Magdy

Quelle: Frontiers in Computational Neuroscience; 4/8/2021, Vol. 15, pN.PAG-N.PAG, 15p

Schlagwörter: CHILDHOOD epilepsy, DEEP learning, SUPERVISED learning, EPILEPSY, ELECTROENCEPHALOGRAPHY, BIOMEDICAL signal processing, CHILDREN'S hospitals, SHORT-term memory, DIAGNOSIS of epilepsy

Geografische Kategorien: BOSTON (Mass.)

Firma/Körperschaft: MASSACHUSETTS Institute of Technology