Investigating the Feasibility of Detecting Metastatic Lymph Nodes Using Pre-Trained EfficientNet Neural Networks with Minimal Datasets

被引：0
|
作者：
Cai, Y. [1 ]
Li, L. [1 ]
机构：
[1] Rutgers State Univ, Newark, NJ USA
来源：
JOURNAL OF MOLECULAR DIAGNOSTICS | 2023年 / 25卷 / 11期
关键词：
D O I：
暂无
中图分类号：
R36 [病理学];
学科分类号：
100104 ;
摘要：
I034
引用
收藏
页码：S87 / S87
页数：1
相关论文
共 50 条
  • [41] Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-trained Convolutional Neural Networks
    Vogado, Luis H. S.
    Veras, Rodrigo de M. S.
    Andrade, Alan R.
    de Araujo, Flavio H. D.
    e Silva, Romuere R. V.
    Aires, Kelson R. T.
    2017 30TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 2017, : 367 - 373
  • [42] Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma
    Lu, Liangqun
    Daigle, Bernie J., Jr.
    PEERJ, 2020, 8
  • [43] Improving the accuracy using pre-trained word embeddings on deep neural networks for Turkish text classification
    Aydogan, Murat
    Karci, Ali
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 541
  • [44] Classification of x-ray images for detection of childhood pneumonia using pre-trained neural networks
    Carvalho Costa, Nator Junior
    Moura Sousa, Jose Vigno
    Sousa Santos, Domingos Bruno
    Fontenele Marques Junior, Francisco das Chagas
    de Melo, Rodrigo Teixeira
    REVISTA BRASILEIRA DE COMPUTACAO APLICADA, 2020, 12 (03): : 132 - 141
  • [45] Classification of Chronic Obstructive Pulmonary Disease using CT Images and Pre-trained Convolutional Neural Networks
    Rezvanjou, Sara
    Moslemi, Amir
    Tan, Wan-Cheng
    Hogg, James C.
    Bourbeau, Jean
    Kirby, Miranda
    MEDICAL PHYSICS, 2022, 49 (08) : 5682 - 5682
  • [46] Detection of Anomalous Gait as Forensic Gait in Residential Units Using Pre-trained Convolution Neural Networks
    Abd Razak, Hana'
    Abd Almisreb, Ali
    Tahir, Nooritawati Md
    ADVANCES IN INFORMATION AND COMMUNICATION, VOL 2, 2020, 1130 : 775 - 793
  • [47] Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks
    Dagan, Itai
    Vainshtein, Roman
    Katz, Gilad
    Rokach, Lior
    INFORMATION FUSION, 2024, 105
  • [48] Road scene object detection using pre-trained RGB neural networks on linear Stokes images
    Omer, Khalid
    Chipman, Russell
    Kupinski, Meredith
    POLARIZATION: MEASUREMENT, ANALYSIS, AND REMOTE SENSING XIV, 2020, 11412
  • [49] Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data
    Reza Ahmadi Lashaki
    Zahra Raeisi
    Nasim Razavi
    Mehdi Goodarzi
    Hossein Najafzadeh
    BMC Oral Health, 25 (1)
  • [50] Morphological classification of fine particles in transmission electron microscopy images by using pre-trained convolution neural networks
    Khadgi, Jasmita
    Lee, Haebum
    Seo, Juchan
    Hong, Jin-hyuk
    Park, Kihong
    AEROSOL SCIENCE AND TECHNOLOGY, 2024, 58 (06) : 657 - 666
12345