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Работы, цитирующие эту работу

Работ: 11

Работа: Going deeper with convolutions

  1. A framework utilizing deep learning techniques for the detection and classification of breast cancerous cells in mammographic images

    Shavkat Fazilov, Khabiba Abdieva, O.R. Yusupov +2

    СтатьяAI in cancer detectionAIP conference proceedings2024Цитирований: 13
    ABI

  2. Automatic Classification and Diagnostic Analysis of Microscopic Blood Images Using R CNN Model

    Fotima Tulaganova, Sanjar Omonov, Abdulaziz Xo'jamqulov

    СтатьяBrain Tumor Detection and Classification2024Цитирований: 6
    ABI

  3. Convolution of Images Using Deep Neural Networks in the Recognition of Footage Objects

    Lyudmila Varlamova

    ГлаваAdvanced Computational Techniques in Science and EngineeringStudies in computational intelligence2020Цитирований: 1
    ABI

  4. Comparative Analysis of Artificial Neural Network Training Algorithms

    Charos Khidirova

    СтатьяNeural Networks and Applications2020 International Conference on Information Science and Communications Technologies (ICISCT)2020Цитирований: 0
    ABI

  5. Classification of Chest X-ray Images using Convolutional Neural Nework

    P Allirani, Yogapriyaa S.P, M. Vishali +3

    СтатьяCOVID-19 diagnosis using AIE3S Web of Conferences2023Цитирований: 0
    ABI

  6. Images identification by convolution methods under conditions of small observation samples

    Varlamova Lyudmila Petrovna, Muyassar Mamatkulova, Timur Nabiev +2

    СтатьяImage and Object Detection TechniquesAIP conference proceedings2023Цитирований: 0
    ABI

  7. GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images

    Tommaso Forni, Matteo Baldoni, Fabio Le Piane +1

    СтатьяMachine Learning in Materials ScienceScientific Reports2024Цитирований: 0
    ABI

  8. Utilizing Deep Learning Technologies for Innovative Application

    Rainy Sikand, Jayant Gautam, Saif O. Husain +3

    СтатьяAdvanced Data Processing Techniques2024Цитирований: 0
    ABI

  9. Ct-Hiffnet: A Contour-Texture Hierarchical Feature Fusion Network for Cropland Field Parcel Extraction from High-Resolution Remote Sensing Images

    Hao Wu, Junyang Xie, Weihao Deng +9

    ПрепринтRemote Sensing in AgricultureSSRN Electronic Journal2024Цитирований: 0
    ABI

  10. Leveraging retinal vessel segmentation for improved disease classification

    Rahul Ray, S Gopal Krishna Patro, Sudarson Jena +4

    СтатьяRetinal Imaging and AnalysisIntelligence-Based Medicine2026Цитирований: 0
    ABI

  11. Friction Stir Welding of Aluminum Alloys Defect Detection Based on Convolutional Autoencoders

    Paula Arcano-Bea, Marta-María Álvarez-Crespo, Francisco Zayas-Gato +2

    ГлаваAdvanced Welding Techniques AnalysisLecture notes in networks and systems2026Цитирований: 0
    ABI