Detecting Multi Thoracic Diseases in Chest X-Ray Images Using Deep Learning Techniques

被引：1
|
作者：
Quevedo, Sebastian [1 ,2 ]
Dominguez, Federico [1 ]
Pelaez, Enrique [1 ]
机构：
[1] Escuela Super Politecn Litoral ESPOL Univ, Elect & Comp Sci Engn Dept, Campus Gustavo Galindo km 30-5 Via Perimetral, Guayaquil, Ecuador
[2] Univ Catolica Cuenca, Cuenca, Ecuador
来源：
2023 IEEE 13TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION SYSTEMS, ICPRS | 2023年
关键词：
D O I：
10.1109/ICPRS58416.2023.10179041
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This doctoral proposal introduces a novel method for detecting and diagnosing various thoracic diseases in chest images using advanced deep-learning approaches. The research aims to establish a powerful and effective technique for promptly recognizing multiple pathologies in chest radiographs, which holds significant implications for patient outcomes and healthcare resources. Additionally, the study investigates the potential benefits of data augmentation, transfer learning strategies, and multimodal data integration to enhance the proposed approach's performance and adaptability.
引用
收藏
页数：7
相关论文
共 50 条
  • [21] Deep learning for report generation on chest X-ray images
    Ouis, Mohammed Yasser
    Akhloufi, Moulay A.
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2024, 111
  • [22] Diagnosis of Chest Diseases in X-Ray images using Deep Convolutional Neural Network
    Choudhary, Arjun
    Hazra, Abhishek
    Choudhary, Prakash
    2019 10TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2019,
  • [23] A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms
    Hage Chehade A.
    Abdallah N.
    Marion J.-M.
    Hatt M.
    Oueidat M.
    Chauvet P.
    SN Computer Science, 5 (4)
  • [24] Covid-19 Detection from Chest X-Ray Images Using Advanced Deep Learning Techniques
    Mahajan, Shubham
    Raina, Akshay
    Abouhawwash, Mohamed
    Gao, Xiao-Zhi
    Pandit, Amit Kant
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 70 (01): : 1541 - 1556
  • [25] Multi-class deep learning architecture for classifying lung diseases from chest X-Ray and CT images
    Al-Sheikh, Mona Hmoud
    Al Dandan, Omran
    Al-Shamayleh, Ahmad Sami
    Jalab, Hamid A.
    Ibrahim, Rabha W.
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [26] Multi-class deep learning architecture for classifying lung diseases from chest X-Ray and CT images
    Mona Hmoud Al-Sheikh
    Omran Al Dandan
    Ahmad Sami Al-Shamayleh
    Hamid A. Jalab
    Rabha W. Ibrahim
    Scientific Reports, 13
  • [27] COVID-19 Diagnosis Through Deep Learning Techniques and Chest X-Ray Images
    Negreiros R.R.B.
    Silva I.H.S.
    Alves A.L.F.
    Valadares D.C.G.
    Perkusich A.
    Baptista C.S.
    SN Computer Science, 4 (5)
  • [28] COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning
    Arman Haghanifar
    Mahdiyar Molahasani Majdabadi
    Younhee Choi
    S. Deivalakshmi
    Seokbum Ko
    Multimedia Tools and Applications, 2022, 81 : 30615 - 30645
  • [29] COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning
    Haghanifar, Arman
    Majdabadi, Mahdiyar Molahasani
    Choi, Younhee
    Deivalakshmi, S.
    Ko, Seokbum
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (21) : 30615 - 30645
  • [30] Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
    Mao, Chengsheng
    Pan, Yiheng
    Zeng, Zexian
    Yao, Liang
    Luo, Yuan
    PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018, : 1209 - 1214
12345