Výsledky vyhledávání - computed‐assisted signal detection algorithm

Application of an Empiric Bayesian Data Mining Algorithm to Reports of Pancreatitis Associated with Atypical Antipsychotics.

Autoři: Hauben, Manfred^1,2,3,4,5,6 Hauben@Pfizer.com

Zdroj: Pharmacotherapy. Sep2004, Vol. 24 Issue 9, p1122-1129. 8p.

Témata: *DATA mining, *PANCREATITIS, *ANTIPSYCHOTIC agents, *DRUG efficacy, *DRUG side effects, *CLINICAL pharmacology

Deep Learning-Based Algorithms for Real-Time Lung Ultrasound Assisted Diagnosis.

Autoři: Muñoz, Mario Rubio, Adrián Cosarinsky, Guillermo a další

Zdroj: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 24, p11930, 23p

Témata: CONVOLUTIONAL neural networks, SIGNAL processing, ARTIFICIAL intelligence, ULTRASONIC imaging, DEEP learning, PLEURA, LUNGS

Pelican Crow Search Optimization Enabled MIRNet-Based Image Enhancement of Histopathological Images of Uterine Tissue.

Autoři: Patil, Veena I. Patil, Shobha R.

Zdroj: International Journal of Image & Graphics; Nov2025, Vol. 25 Issue 6, p1-20, 20p

Témata: HISTOPATHOLOGY, UTERUS, IMAGE processing, DIGITAL image processing, ENDOMETRIAL cancer, IMAGE quality analysis, IMAGE enhancement (Imaging systems)

Next-generation radiomic sequencing in non-small cell lung cancer: an alternative model to predict mutations from [18F]FDG PET/CT.

Autoři: Monaco, Lavinia Crivellaro, Cinzia De Bernardi, Elisabetta a další

Zdroj: Therapeutic Advances in Respiratory Disease; 10/09/2025, Vol. 19, p1-12, 12p

Témata: NON-small-cell lung carcinoma, RADIOMICS, TUMOR genetics, RAS oncogenes, BIOMARKERS, NUCLEOTIDE sequencing, EPIDERMAL growth factor receptors, POSITRON emission tomography

UEG Week 2025 Moderated Posters.

Zdroj: United European Gastroenterology Journal; Oct2025 Supplement 1, Vol. 13, pS189-S802, 614p

Témata: GASTRIC acid, GASTROENTEROSTOMY, GASTRIC juice, HYDROCHLORIC acid, CROSS-sectional method

Metrological Characterization of a Pain Detection System Based on Transfer Entropy of Facial Landmarks.

Autoři: Casti, Paola Mencattini, Arianna Filippi, Joanna a další

Zdroj: IEEE Transactions on Instrumentation & Measurement; 2021, Vol. 70, p1-8, 8p

Témata: MACHINE learning, ENTROPY, FACIAL expression, PATIENT experience, PAIN measurement

VCU-Net: a vascular convolutional network with feature splicing for cerebrovascular image segmentation.

Autoři: Li, Mengxin Lv, Fan Chen, Jiaming a další

Zdroj: Medical & Biological Engineering & Computing; Mar2025, Vol. 63 Issue 3, p661-672, 12p

Témata: BLOOD vessels, CONVOLUTIONAL neural networks, IMAGE processing, IMAGE representation, BIOMEDICAL signal processing

PolyEffNetV1: A CNN based colorectal polyp detection in colonoscopy images.

Autoři: Sadagopan, Rajkumar Ravi, Saravanan Adithya, Sairam Vuppala a další

Zdroj: Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Sage Publications, Ltd.); Mar2023, Vol. 237 Issue 3, p406-418, 13p

Detection and classification of cervical cancer images using CEENET deep learning approach.

Autoři: Subarna, T.G. Sukumar, P.

Zdroj: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 43 Issue 3, p3695-3707, 13p

Témata: DEEP learning, CERVICAL cancer, TUMOR classification, CONVOLUTIONAL neural networks, WAVELET transforms, EARLY detection of cancer

Various Methods for Computing Risk Factors of Down Syndrome in Fetus: Various Methods for Computing Risk Factors of Down Syndrome in Fetus: S. Kumar, K. Selvakumar.

Autoři: Kumar, Sushil Selvakumar, K.

Zdroj: Archives of Computational Methods in Engineering; Jan2025, Vol. 32 Issue 1, p485-498, 14p

Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects—a narrative review.

Autoři: Katta, Maanya Rajasree Kalluru, Pavan Kumar Reddy Bavishi, Divyaraj Amber a další

Zdroj: Journal of Cancer Research & Clinical Oncology; Aug2023, Vol. 149 Issue 9, p6743-6751, 9p

Témata: CANCER diagnosis, ARTIFICIAL intelligence, PANCREATIC cancer, GASTROINTESTINAL cancer, PANCREATIC intraepithelial neoplasia

Automated SAR Image Segmentation and Classification Using Modified Deep Learning.

Autoři: Srinitya, G. Sharmila, D. Logeswari, S. a další

Zdroj: International Journal of Pattern Recognition & Artificial Intelligence; Jan2023, Vol. 37 Issue 1, p1-35, 35p

Témata: IMAGE recognition (Computer vision), ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, DEEP learning, SYNTHETIC aperture radar, IMAGE segmentation, DIGITAL image correlation

A short introduction to neural networks and their application to Earth and Materials Science.

Autoři: Fanelli, Duccio Bindi, Luca Chicchi, Lorenzo a další

Zdroj: Rendiconti Lincei: Scienze Fisiche e Naturali; Dec2024, Vol. 35 Issue 4, p881-892, 12p

Investigation of image noise in cone-beam CT imaging due to photon counting statistics with the Feldkamp algorithm by computer simulations.

Autoři: Yan Zhang Ruola Ning

Zdroj: Journal of X-Ray Science & Technology; 2008, Vol. 16 Issue 2, p143-158, 16p, 2 Diagrams, 6 Graphs

Témata: ALGORITHMS, COMPUTER simulation, SIMULATION methods & models, THREE-dimensional imaging, ENGINEERING instruments, IMAGING systems, IMAGE reconstruction

Deep-learning based detection of COVID-19 using lung ultrasound imagery.

Autoři: Diaz-Escobar, Julia Ordóñez-Guillén, Nelson E. Villarreal-Reyes, Salvador a další

Zdroj: PLoS ONE; 8/13/2021, Vol. 16 Issue 8, p1-21, 21p

Témata: LUNGS, DEEP learning, COVID-19, ULTRASONIC imaging, COMPUTER-aided diagnosis, COVID-19 pandemic, RECEIVER operating characteristic curves

Automated brain tumour segmentation from multi‐modality magnetic resonance imaging data based on new particle swarm optimisation segmentation method.

Autoři: Gtifa, Wafa Hamdaoui, Fayçal Sakly, Anis

Zdroj: International Journal of Medical Robotics & Computer Assisted Surgery; Jun2023, Vol. 19 Issue 3, p1-12, 12p

An attention-based dense network model for cardiac image segmentation using learning approaches.

Autoři: Subaramani, Nandhagopal Sasikala, E.

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jan2024, Vol. 28 Issue 1, p765-775, 11p

Témata: CARDIAC imaging, IMAGE segmentation, MEDICAL research, DEEP learning

Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation.

Autoři: Mahmoudi, Ramzi Ameur, Narjes Ben Ammari, Asma a další

Zdroj: IET Image Processing (Wiley-Blackwell); 2020, Vol. 14 Issue 3, p506-517, 12p

Témata: LEFT heart ventricle, MYOCARDIUM, MAGNETIC resonance imaging, WATERSHEDS, CARDIAC output, MAGNETIC resonance, HEART

Reconstruction Corrections in Advanced Neutron Tomography Algorithms.

Autoři: Rosa, R. Chirco, P. Massari, R.

Zdroj: IEEE Transactions on Nuclear Science; Feb2005 Part 2 of 3, Vol. 52 Issue 1, p400-403, 4p

Témata: NEUTRONS, ALGORITHMS, TOMOGRAPHY, RESEARCH institutes

Geografický termín: ROME, ITALY

Intelligence artificielle et endoscopie : le meilleur des mondes ? (French)

Alternate Title: The brave new world of artificial intelligence for digestive endoscopy. (English)

Autoři: Dray, Xavier Leenhardt, Romain Histace, Aymeric a další

Zdroj: Hépato-Gastro & Oncologie Digestive; mar2019, Vol. 26 Issue 3, p319-331, 13p