Automatic detection of colonic ulcers and erosions in colon capsule endoscopy images using a convolutional neural network

被引:0
|
作者
Ribeiro, T. [1 ]
Mascarenhas Saraiva, M. [2 ]
Afonso, J. [1 ]
Cardoso, H. [1 ]
Ferreira, J. [3 ]
Andrade, P. [1 ]
Jorge, R. [3 ]
Lopes, S. [1 ]
Macedo, G. [1 ]
机构
[1] Ctr Hosp Univ Sao Joao, Dept Gastroenterol, Porto, Portugal
[2] Ctr Hosp Univ Sao Joao, Gastroenterol, Porto, Portugal
[3] Univ Porto, Mech Engn, Fac Engn, Porto, Portugal
来源
关键词
D O I
10.1093/ecco-jcc/jjab076.240
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
P113
引用
收藏
页码:S205 / S206
页数:2
相关论文
共 50 条
  • [41] Automatic Detection of Small Bowel Ulcers and Erosions in Double-Balloon Enteroscopy Using a Convolutional Neural Network: A Proof-of-Concept Study
    Ribeiro, Tiago
    Mascarenhas, Miguel
    Afonso, Joao
    Ferreira, Joao
    Cardoso, Helder
    Andrade, Patricia
    Parente, Marco
    Natal, Renato
    Macedo, Guilherme
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2021, 116 : S625 - S625
  • [42] Automatic detection of objects on star sky images by using the convolutional neural network
    Bobrovsky, A. I.
    Galeeva, M. A.
    Morozov, A. V.
    Pavlov, V. A.
    Tsytsulin, A. K.
    INTERNATIONAL CONFERENCE EMERGING TRENDS IN APPLIED AND COMPUTATIONAL PHYSICS 2019 (ETACP-2019), 2019, 1236
  • [43] DEEP LEARNING AND CAPSULE ENDOSCOPY: PANENDOSCOPIC CLASSIFICATION OF SMALL BOWEL AND COLON PREPARATION USING A CONVOLUTIONAL NEURAL NETWORK
    Ribeiro, Tiago
    Saraiva, Miguel
    Afonso, Joao
    Cardoso, Pedro
    Cardoso, Helder
    Andrade, Patricia
    Ferreira, Joao
    Saraiva, Miguel
    Macedo, Guilherme
    GASTROINTESTINAL ENDOSCOPY, 2023, 97 (06) : AB765 - AB765
  • [44] Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images
    Alaskar, Haya
    Hussain, Abir
    Al-Aseem, Nourah
    Liatsis, Panos
    Al-Jumeily, Dhiya
    SENSORS, 2019, 19 (06)
  • [45] AUTOMATIC POLYP SEMANTIC SEGMENTATION USING WIRELESS CAPSULE ENDOSCOPY IMAGES WITH VARIOUS CONVOLUTIONAL NEURAL NETWORK AND OPTIMIZATION TECHNIQUES: A COMPARISON AND PERFORMANCE EVALUATION
    Selvaraj, Jothiraj
    Jayanthy, A. K.
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2023, 35 (06):
  • [46] Lesion Detection of Endoscopy Images Based on Convolutional Neural Network Features
    Zhu, Rongsheng
    Zhang, Rong
    Xue, Dixiu
    2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2015, : 372 - 376
  • [47] Automatic polyp detection for wireless capsule endoscopy images
    Li, Baopu
    Meng, Max Q. -H.
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (12) : 10952 - 10958
  • [48] HIGH ACCURACY PATCH-LEVEL CLASSIFICATION OF WIRELESS CAPSULE ENDOSCOPY IMAGES USING A CONVOLUTIONAL NEURAL NETWORK
    Sadasivan, Vinu Sankar
    Seelamantula, Chandra Sekhar
    2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019), 2019, : 96 - 99
  • [49] Automatic Hookworm Detection in Wireless Capsule Endoscopy Images
    Wu, Xiao
    Chen, Honghan
    Gan, Tao
    Chen, Junzhou
    Ngo, Chong-Wah
    Peng, Qiang
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 35 (07) : 1741 - 1752
  • [50] Automatic Detection of Colonic Polyps and Tumor in Wireless Capsule Endoscopy Images Using Hybrid Patch Extraction and Supervised Classification
    Sindhu, C. P.
    Valsan, Vysak
    2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS), 2017,