Výsledky vyhledávání - "Images Classification"

DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification

Autoři: Wakili, Musa Adamu Shehu, Harisu Abdullahi Abdollahi, Mahdi a další

Zdroj: IEEE Access. 13:145828-145848

Témata: Breast Cancer, Deep Learning, Densenet, Feature Selection, Flower Pollination Algorithm, Histopathology, Image Classification, Classification (of Information), Computer Aided Diagnosis, Diseases, Image Enhancement, Lung Cancer, Medical Imaging, Patient Treatment, Breast Cancer Diagnosis, Convolutional Networks, Dense Convolutional Network, Features Selection, Histopathological Image Analysis, Images Classification

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28576
https://doi.org/10.1109/ACCESS.2025.3599319

Enhancing Vision Transformer Performance with Rotation Based Augmentation for Classifying Images of Colon Cancer Pathology

Autoři: Rudy Eko Prasetya M. Arief Soeleman Farrikh Al Zami a další

Zdroj: INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi; Vol. 9 No. 2 (2025): August 2025; 235-249
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi; Vol 9 No 2 (2025): August 2025; 235-249
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, Vol 9, Iss 2 (2025)

Témata: Images Classification, Colon Cancer, Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64, Data Augmentation, Vision Transformer

Popis souboru: application/pdf

Přístupová URL adresa: https://ojs.unpkediri.ac.id/index.php/intensif/article/view/24918
https://doaj.org/article/eb06a389f8f64ba895bca132dce82f98

Two-view attention-guided convolutional neural network for mammographic image classification

Autoři: Sun, Lilei Wen, Jie Wang, Junqian a další

Zdroj: CAAI Transactions on Intelligence Technology. 8(2):453-467

Témata: convolutional neural network, deep learning, mammographic image, medical image processing, Classification (of information), Computer aided diagnosis, Convolution, Convolutional neural networks, Image classification, X ray screens, Automatic feature extraction, Classification methods, Classification results, Images classification, Learning models, Mammographic images, Medical images processing, Two views, Mammography

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323278
https://doi.org/10.1049/cit2.12096

An Approach for Breast Cancer X-Ray Images Classification Based on Vision Transformer

Autoři: Huong Hoang Luong Kiet Tuan Pham Dat Thanh Le a další

Zdroj: Vietnam Journal of Computer Science, Vol 12, Iss 03, Pp 329-347 (2025)

Témata: Breast cancer, X-ray images classification, Vision Transformer, deep learning, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2196-8888; https://doaj.org/toc/2196-8896

Přístupová URL adresa: https://doaj.org/article/85cca240dddf4c2bb4e6baf0b4875f61

Multifunctional cells based neural architecture search for plant images classification

Autoři: Lin Huang Xi Qin Tiejun Yang

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

Témata: Neural architecture search, Multifunctional cells, Transfer cell, Deep learning, Plant images classification, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/c8b08f2dd10a480eab5081a93c4e9be9

Feasibility Analysis of an AI-Based Classification System for Cultural Heritage Building

Autoři: Ruga T. Caroprese L. Vocaturo E. a další

Zdroj: 2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv). :87-91

Témata: Cultural Heritage Buildings, Images Classification, Transfer Learning

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/20.500.14243/530159
https://doi.org/10.1109/MetroLivEnv60384.2024.10615638

A harmonized framework to assess coastal erosion blending copernicus marine data products and satellite imagery along Greek and Italian shorelines

Autoři: Konstantinos Zachopoulos Nikolaos Kokkos Maria Katherina Dal Barco a další

Zdroj: Frontiers in Environmental Science, Vol 13 (2025)

Témata: coastal erosion, shoreline evolution, satellite images classification, GIS analysis, nature-based solutions, Environmental sciences, GE1-350

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenvs.2025.1602740/full; https://doaj.org/toc/2296-665X

Přístupová URL adresa: https://doaj.org/article/0b8d306346f244c79a60b5b652f720ef

Rencontre avec Mathieu Triclot: L’image numérique et ses prises : l’œil et la main

Autoři: Crevoisier, Michaël Morisset, Thomas

Témata: Video games, Allographique, Autographic, Main, Jeux vidéo, Nelson Goodman, Images classification, Allographic, Hand, Classification des images, Images numériques, Autographique, Digital images

CNN-LPQ: convolutional neural network combined to local phase quantization based approach for face anti-spoofing

Autoři: Mebrouka Madi Mohammed Khammari Mohamed-Chaker Larabi a další

Přispěvatelé: Mebrouka Madi Mohammed Khammari Mohamed-Chaker Larabi a další

Zdroj: Multimedia Tools and Applications. 83:87749-87780

Témata: Artificial neural network, RGB color space, Local phase quantization, Artificial intelligence, Swish activation function, Deep feature, Attention mechanism, Deep learning, Convolutional neural network, Images classification, Shallow feature, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, HSV color space, Computer vision

ECGConVT: A Hybrid CNN and Vision Transformer Model for Enhanced 12-Lead ECG Images Classification

Autoři: Mudassar Khalid Charnchai Pluempitiwiriyawej Abdulkadhem A. Abdulkadhem a další

Zdroj: IEEE Access, Vol 12, Pp 193043-193056 (2024)

Témata: machine learning, Deep learning, Electrical engineering. Electronics. Nuclear engineering, electrocardiogram, vision transformer, ECG images classification, TK1-9971

Přístupová URL adresa: https://doaj.org/article/38c86abc6dac4a26b4ef347a59fd08ff

Dynamic Convolution Covariance Network Using Multiscale Feature Fusion for Remote Sensing Scene Image Classification

Autoři: Xinyu Wang Furong Shi Haixia Xu a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16815-16830 (2024)

Témata: Dynamic convolution, Ocean engineering, QC801-809, Geophysics. Cosmic physics, remote sensing scene images classification (RSSC), higher order statistical information, TC1501-1800, multiscale feature fusion

Přístupová URL adresa: https://doaj.org/article/38d347f955554cf0a50d461183589510

Multiple Instance Learning in Medical Images: A Systematic Review

Autoři: Dalila Barbosa Marcos Ferreira Geraldo Braz Junior a další

Zdroj: IEEE Access, Vol 12, Pp 78409-78422 (2024)

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, multiple instance learning (MIL), Images classification, medical images, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, 3. Good health

Přístupová URL adresa: https://doaj.org/article/3162c829c5ef4988bc9387ba72b3843a

SLIP-flood: Soft-combination of Swin Transformer and Lightweight Language-Image Pre-training for Flood Images Classification

Autoři: Heng Tang Xiaoping Rui Jiarui Li a další

Zdroj: International Journal of Applied Earth Observations and Geoinformation, Vol 139, Iss , Pp 104543- (2025)

Témata: Flood monitoring, Vision language pre-training, Cross-model datasets, Flood images classification, Cross-model data mining, Physical geography, GB3-5030, Environmental sciences, GE1-350

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843225001906; https://doaj.org/toc/1569-8432

Přístupová URL adresa: https://doaj.org/article/9388fc1574254a98b788fdf315e4d5f7

Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning

Autoři: Wakili, Musa Adamu Shehu, Harisu Abdullahi Sharif, Md. Haidar a další

Zdroj: Computational Intelligence and Neuroscience. 2022

Témata: Ability testing, Classification (of information), Deep learning, Diseases, Learning systems, Medical imaging, Statistical tests, Transfer learning, Breast Cancer, Classification tasks, Extracting features, Histopathological images, Images classification, Learning Based Models, Learning methods, Performance, State-of-the-art methods, Image classification, breast tumor, diagnostic imaging, female, human, machine learning, Breast Neoplasms, Humans, Neural Networks, Computer

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-23831
https://doi.org/10.1155/2022/8904768

Street direction classification using implicit vehicle crowdsensing and deep learning

Autoři: Alessio Luciani Emanuele Panizzi

Zdroj: Future Generation Computer Systems. 149:59-70

Témata: Crowdsensing, Deep learning, Image classification, Street direction, Urban map, Vehicle, Cameras, Global positioning system, Learning systems, GPS navigation, Images classification, Map updating, Onboard camera, Traveling time, Updating approaches, Vehicles

A Semi-Supervised Multi-Scale Convolutional Neural Network for Hyperspectral Image Classification with Limited Labeled Samples

Autoři: Chen Yang Zizhuo Liu Renchu Guan a další

Zdroj: Remote Sensing, Vol 17, Iss 19, p 3273 (2025)

Témata: semi-supervised learning, pseudo-label, multi-scale, convolutional neural network, hyperspectral images classification, remote sensing, Science

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/17/19/3273; https://doaj.org/toc/2072-4292

Přístupová URL adresa: https://doaj.org/article/e7537849a0a543349098e9a5b4b6ddf1

Resource-Efficient Cotton Network: A Lightweight Deep Learning Framework for Cotton Disease and Pest Classification

Autoři: Zhengle Wang Heng-Wei Zhang Ying-Qiang Dai a další

Zdroj: Plants, Vol 14, Iss 13, p 2082 (2025)

Témata: cotton, disease and pest diagnosis, images classification, lightweight model, MobileViT, Botany, QK1-989

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2223-7747/14/13/2082; https://doaj.org/toc/2223-7747

Přístupová URL adresa: https://doaj.org/article/b03a43c105b14cfb818ceaa5e6f601d3

Multiclass classification of oral mucosal lesions by deep learning from clinical images without performing any restrictions

Autoři: Redondo, Alejandro Ivaylova, Katerina Bachiller, Margarita a další

Témata: 613/614:[[778:616.314]:616-006.04], Images classification, Oral cancer, Oral potentially malignant disorders, Deep learning, Convolutional neural network, Skip connection networks, Visual transformers, ConvNeXt, Odontología (Odontología), Salud pública (Medicina), Oncología, Diagnóstico por imagen y medicina nuclear, 32 Ciencias Médicas, 3299 Otras Especialidades Médicas, 3212 Salud Publica, 3213.13 Ortodoncia-Estomatología, 3207.13 Oncología, 2209.90 Tratamiento Digital. Imágenes

Popis souboru: application/pdf

Relation: Redondo A, Ivaylova K, Bachiller M, Rincón M, Cuadra JM, Tamimi F, López-Cedrún JL, Diniz-Freitas M, Lago-Méndez L, Rubín-Roger G, Torres J, Bagán L, Hernández G, López-Pintor RM. Multiclass classification of oral mucosal lesions by deep learning from clinical images without performing any restrictions. Biomedical Signal Processing and Control. 2026 En;111(108337); https://hdl.handle.net/20.500.14352/123750

Dostupnost: https://hdl.handle.net/20.500.14352/123750
https://doi.org/10.1016/j.bspc.2025.108337

Age Prediction from Handwritten Texts Using Machine Learning ; Predicción de la Edad a Partir de Textos Manuscritos usando Aprendizaje Automático

Autoři: Rosas Hernandez, Maria Magdalena Ruiz-Castilla, José Sergio

Zdroj: XIKUA Boletín Científico de la Escuela Superior de Tlahuelilpan; Vol. 13 No. 26 (2025): January - June; 1-6 ; XIKUA Boletín Científico de la Escuela Superior de Tlahuelilpan; Vol. 13 Núm. 26 (2025): Enero - Junio; 1-6 ; 2007-4948 ; 10.29057/xikua.v13i26

Témata: Clasificación de imágenes, Predicción de la edad, Texto manuscrito, Aprendizaje automático, Images classification, Age prediction, Handwritten text, Machine learning

Popis souboru: application/pdf

Relation: https://repository.uaeh.edu.mx/revistas/index.php/xikua/article/view/14804/12546; https://repository.uaeh.edu.mx/revistas/index.php/xikua/article/view/14804

Dostupnost: https://repository.uaeh.edu.mx/revistas/index.php/xikua/article/view/14804
https://doi.org/10.29057/xikua.v13i26.14804

Gish: a novel activation function for image classification

Autoři: Mustafa Kaytan İbrahim Berkan Aydilek Celaleddin Yeroğlu a další

Přispěvatelé: Mustafa Kaytan İbrahim Berkan Aydilek Celaleddin Yeroğlu a další

Zdroj: Neural Computing and Applications. 35:24259-24281

Témata: Image classification, Neural network models, Performance, Convolutional neural network, Speed, 02 engineering and technology, Nonmonotonic activation function, Deep Learning, Gish, Object Detection, 0202 electrical engineering, electronic engineering, information engineering, Neural network model, Linear units, Neurons, Electrical Engineering, Electronics & Computer Science - Computer Vision & Graphics - Genome Rearrangement, IOU, Monotonics, Deep learning, Activation functions, Images classification, Chemical activation, Convolution, Nonmonotonic, Convolutional neural networks, Networks, Convergence

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/20.500.12508/3005