Search Results - "deep learning algorithm"

A Deep Learning Approach for Tracking Colorectal Cancer-Derived Extracellular Vesicles in Colon and Lung Models

Authors: Chiabotto, Giulia Dumontel, Bianca Zilli, Luca et al.

Source: ACS Biomaterials Science & Engineering. 11:5343-5355

Subject Terms: colorectal cancer, extracellular vesicles, metastasis, deep learning algorithm, 2D and 3D models

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Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information

Authors: Hamid Sabbaghi Seyed Hassan Tabatabaei Nader Fathianpour

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Subject Terms: Cr mineralization, Convolutional deep learning algorithm, Geologically-constrained neural network, Frequency domain data, Geochemical anomaly recognition, Butterworth filter, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/be643ff904c240688621ec70f5f1597f

Development and Evaluation of a Deep Learning Algorithm to Differentiate Between Membranes Attached to the Optic Disc on Ultrasonography

Authors: Vaidehi Bhatt Nikhil Shah Deepak Bhatt et al.

Source: Clin Ophthalmol

Subject Terms: retinal detachment, POSTERIOR VITREOUS DETACHMENT, posterior vitreous detachment, ultrasonography, artificial intelligence, deep learning algorithm, Original Research

Access URL: https://pubmed.ncbi.nlm.nih.gov/40125481

Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation

Authors: Yuhuan Yue

Source: Automatika, Vol 66, Iss 2, Pp 201-216 (2025)

Subject Terms: T59.5, Hamitlon–Jacobi–Bellman equation, optimal control, Automation, Control engineering systems. Automatic machinery (General), TJ212-225, real-time control, stable manifold, quadrotor UAV, deep learning algorithm

Access URL: https://doaj.org/article/0787a376b79843a497aad41cfa616bfa

Defect Detection of Gas Insulation Switch by Infrared Thermography Technology With an Improved Yolo Algorithm

Authors: Ma Tianci Chen Xiangping Li Bo et al.

Source: IEEE Access, Vol 13, Pp 118212-118223 (2025)

Subject Terms: gas insulation switch, defect detection, infrared thermography, YOLO network, Electrical engineering. Electronics. Nuclear engineering, Deep learning algorithm, TK1-9971

Access URL: https://doaj.org/article/ce88ec541bd4490ab4e87d0aa0c103dd

Adaptive Focal Loss for Keypoint-Based Deep Learning Detectors Addressing Class Imbalance

Authors: Zhihao Su Afzan Adam Mohammad Faidzul Nasrudin

Source: IEEE Access, Vol 13, Pp 31842-31856 (2025)

Subject Terms: sampling method, class imbalance, object detection, keypoint-based deep learning detector, Electrical engineering. Electronics. Nuclear engineering, Deep learning algorithm, TK1-9971

Access URL: https://doaj.org/article/0850e11013cd4fb7aeb968796871b199

A Convolutional Neural Network Using Anterior Segment Photos for Infectious Keratitis Identification

Authors: Vannarut Satitpitakul Apiwit Puangsricharern Surachet Yuktiratna et al.

Source: Clin Ophthalmol
Clinical Ophthalmology, Vol Volume 19, Pp 73-81 (2025)

Subject Terms: conventional neural network, Ophthalmology, infectious keratitis, keratitis, cornea ulcer, RE1-994, deep learning algorithm, Original Research

Access URL: https://doaj.org/article/66df10a440ae4445807391ffe3841364

Flexible Monolithic 3D-Integrated Self-Powered Tactile Sensing Array Based on Holey MXene Paste

Authors: Mengjie Wang Chen Chen Yuhang Zhang et al.

Source: Nano-Micro Letters, Vol 18, Iss 1, Pp 1-14 (2025)

Subject Terms: Holey MXene, Microsupercapacitor, Tactile sensor, Monolithic 3D integration, Deep learning algorithm, Technology

File Description: electronic resource

Relation: https://doaj.org/toc/2311-6706; https://doaj.org/toc/2150-5551

Access URL: https://doaj.org/article/c0a1a57fd7db407297d088aa0508ef37

An optimized hybrid deep learning model to detect Alzheimer disease

Authors: A. Sundar Raj C. Gunasundari S. Senthilkumar et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)

Subject Terms: Alzheimer disease detection, Mild cognitive impairment, Deep learning algorithm, Inception v3, ResNet 50, Optimal features, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/0e06f3eb9e4941d5bca3956695117bbc

Construction of evolutionary stability and signal game model for privacy protection in the internet of things

Authors: Yu Li Huamin Liu Lei Lu

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Subject Terms: Internet of things privacy protection, Evolutionary game model, Signal game mechanism, Deep learning algorithm, Privacy protection strategy, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/64127bfc8a8d48c2a5299e3f575a3d2e

Rapid profiling of carcinogenic types of Helicobacter pylori infection via deep learning analysis of label-free SERS spectra of human serum

Authors: Li, Fen Si, Yu Ting Tang, Jia Wei et al.

Source: Comput Struct Biotechnol J
Computational and Structural Biotechnology Journal, Vol 23, Iss, Pp 3379-3390 (2024)

Subject Terms: 0301 basic medicine, Carcinogenic toxin, 0303 health sciences, Helicobacter pylori, Diseases, Deep learning algorithm, 03 medical and health sciences, Serum antibody, Virus Diseases, Medicine and Health Sciences, Surface-enhanced Raman spectrometry, Gastric cancer, TP248.13-248.65, Biotechnology, Research Article

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Access URL: https://pubmed.ncbi.nlm.nih.gov/39329094
https://doaj.org/article/0041562559804fe0bf9a621c97f3b9c6

Correction: Computational models for pan-cancer classification based on multi-omics data

Authors: Jianlin Wang Jiao Zhang Xuebing Dai et al.

Source: Frontiers in Genetics, Vol 16 (2025)

Subject Terms: pan-cancer classification, multi-omics data, deep learning algorithm, convolutional neural network, tumor heterogeneity, Genetics, QH426-470

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fgene.2025.1743847/full; https://doaj.org/toc/1664-8021

Access URL: https://doaj.org/article/79d11370d77f49fbbf649918eb5db49c

Electromagnetic Torque Prediction and Modeling of a Doubly Fed Induction Generator for Wind Energy Conversion Systems Using Machine Learning and Deep Learning Algorithms

Authors: M. Murat Tezcan Ebru Efeoğlu

Source: Engineering Science and Technology, an International Journal, Vol 72, Iss , Pp 102227- (2025)

Subject Terms: Double Fed Induction Generator, Electromagnetic Torque Modeling, Deep Learning Algorithm, Machine Learning Algorithm, DFIG Performance Estimation, Engineering (General). Civil engineering (General), TA1-2040

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Relation: http://www.sciencedirect.com/science/article/pii/S2215098625002824; https://doaj.org/toc/2215-0986

Access URL: https://doaj.org/article/8ef9d8d1f34d44e184c6532437a513d3

Application of evolutionary deep learning algorithm in construction engineering management system

Authors: Zhe Yang

Source: Systems and Soft Computing, Vol 7, Iss , Pp 200317- (2025)

Subject Terms: Evolutionary, Deep learning algorithm, Construction engineering, Management System, Office Automation, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

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Relation: http://www.sciencedirect.com/science/article/pii/S2772941925001358; https://doaj.org/toc/2772-9419

Access URL: https://doaj.org/article/d49b217edc704054b9503c1916907298

Accuracy and robustness evaluation of deep learning algorithms in facial recognition systems

Authors: Jing Zhang Ningyu Hu

Source: Systems and Soft Computing, Vol 7, Iss , Pp 200252- (2025)

Subject Terms: Deep learning algorithm, Facial recognition technology, Robustness, Facial detection, Feature extraction, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

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Relation: http://www.sciencedirect.com/science/article/pii/S2772941925000705; https://doaj.org/toc/2772-9419

Access URL: https://doaj.org/article/f0ff5c3cfeed4c55b184b8155119f13d

Computational models for pan-cancer classification based on multi-omics data

Authors: Jianlin Wang Jiao Zhang Xuebing Dai et al.

Source: Frontiers in Genetics, Vol 16 (2025)

Subject Terms: pan-cancer classification, multi-omics data, deep learning algorithm, convolutional neural network, tumor heterogeneity, Genetics, QH426-470

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fgene.2025.1667325/full; https://doaj.org/toc/1664-8021

Access URL: https://doaj.org/article/32ac02ab1bfd42feb3ad077dd1c87036

Measurement of spatial heterogeneity in street restorative perceptions and street refinement design

Authors: Yalun Lei Qingqing Li Jingwen Tian et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Subject Terms: Spatial heterogeneity, Restorative environment perception, Street view images, Deep learning algorithm, MGWR model, Refinement design, Medicine, Science

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Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/5798f0bcdf524c818e42c62d9e05c6cd

Contrast Study of Low Tube Current Combined with Deep Learning Algorithms in Paranasal Sinus CT Imaging

Authors: Yufei SUN Zhaohui ZHONG Xiangming LI et al.

Source: CT Lilun yu yingyong yanjiu, Vol 34, Iss 3, Pp 351-358 (2025)

Subject Terms: deep learning algorithm, iterative algorithm, paranasal sinus ct, low-dose ct, Geophysics. Cosmic physics, QC801-809, Medicine (General), R5-920

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Relation: https://doaj.org/toc/1004-4140

Access URL: https://doaj.org/article/43cd2bfc07fa418c82206ab95b5b375e

Deep learning-based automatic segmentation of oral squamous cell carcinoma in histopathological images: a comprehensive evaluation and performance analysis

Authors: Gürkan Ünsal Selim Sevim Nurullah Akkaya et al.

Source: Journal of Stomatology, Vol 78, Iss 2, Pp 127-131 (2025)

Subject Terms: oral pathology, oral cancer, oral squamous cell carcinoma, automatic segmentation, deep learning algorithm, Dentistry, RK1-715

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Relation: https://www.termedia.pl/Deep-learning-based-automatic-segmentation-of-oral-squamous-cell-carcinoma-in-histopathological-images-a-comprehensive-evaluation-and-performance-analysis,137,56142,1,1.html; https://doaj.org/toc/0011-4553; https://doaj.org/toc/2299-551X

Access URL: https://doaj.org/article/573f2d1f0c1545e1a55683043b773f4d

Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring

Authors: Peter Jagd Sørensen Claes Nøhr Ladefoged Vibeke Andrée Larsen et al.

Source: Tomography
Tomography, Vol 10, Iss 9, Pp 1397-1410 (2024)
Sørensen, P J, Ladefoged, C N, Larsen, V A, Andersen, F L, Nielsen, M B, Poulsen, H S, Carlsen, J F & Hansen, A E 2024, ' Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring ', Tomography, vol. 10, no. 9, pp. 1397-1410 . https://doi.org/10.3390/tomography10090105

Subject Terms: BraTS, Automatic, Computer applications to medicine. Medical informatics, R858-859.7, Datasets as Topic, brain tumour segmentation, Article, Deep Learning, Brain tumour segmentation, Treatment monitoring, magnetic resonance imaging, Magnetic resonace imaging, postoperative, Humans, Brain Tumor Segmentation Challenge, Postoperative, annotation protocol, Brain Neoplasms, Magnetic Resonance Imaging, Annotation protocol, Deep learning algorithms, treatment monitoring, automatic, Glioblastoma, Algorithms, MRI, deep learning algorithm

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Access URL: https://pubmed.ncbi.nlm.nih.gov/39330751
https://doaj.org/article/82109056b1184a5a93cf9a7cbd10d27d
https://orbit.dtu.dk/en/publications/4fa32de5-0067-4dfd-9211-87ce93805233
https://curis.ku.dk/ws/files/408318926/tomography_10_00105.pdf