Nucleus Detection and Segmentation for Pathology Images Using Deep Convolutional Neural Network and Variational Autoencoder

被引：0
|
作者：
Hai, Su [1 ]
Sapkota, Manish [1 ]
Liu, Fujun [1 ]
Cai, Jinzheng [1 ]
Chen, Pingjun [1 ]
Yang, Lin [1 ]
机构：
[1] Univ Florida, Gainesville, FL USA
来源：
LABORATORY INVESTIGATION | 2018年 / 98卷
关键词：
D O I：
暂无
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
190
引用
收藏
页码：66 / 66
页数：1
相关论文
共 50 条
  • [1] Nucleus Detection and Segmentation for Pathology Images Using Deep Convolutional Neural Network and Variational Autoencoder
    Hai, Su
    Sapkota, Manish
    Liu, Fujun
    Cai, Jinzheng
    Chen, Pingjun
    Yang, Lin
    [J]. MODERN PATHOLOGY, 2018, 31 : 66 - 66
  • [2] Anomaly Detection on Medical Images using Autoencoder and Convolutional Neural Network
    Siddalingappa, Rashmi
    Kanagaraj, Sekar
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (07) : 148 - 156
  • [3] A deep convolutional neural network for segmentation of whole-slide pathology images in glioblastoma
    Shirazi, Amin Zadeh
    McDonnell, Mark D.
    Fornaciari, Eric
    Bagherian, Narjes Sadat
    Scheer, Kaitlin G.
    Samuel, Michael S.
    Yaghoobi, Mahdi
    Ormsby, Rebecca J.
    Poonnoose, Santosh
    Tumes, Damon
    Gomez, Guillermo A.
    [J]. CLINICAL CANCER RESEARCH, 2021, 27 (05)
  • [4] Segmentation of MR images for brain tumor detection using autoencoder neural network
    Hoseini, Farnaz
    Shamlou, Shohreh
    Ahmadi-Gharehtoragh, Milad
    [J]. Discover Artificial Intelligence, 2024, 4 (01):
  • [5] Segmentation of digital rock images using deep convolutional autoencoder networks
    Karimpouli, Sadegh
    Tahmasebi, Pejman
    [J]. COMPUTERS & GEOSCIENCES, 2019, 126 : 142 - 150
  • [6] Segmentation of backscattered electron images of geopolymers using convolutional autoencoder network
    Sheiati, Shohreh
    Behboodi, Sanaz
    Ranjbar, Navid
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 206
  • [7] Segmentation of backscattered electron images of geopolymers using convolutional autoencoder network
    Sheiati, Shohreh
    Behboodi, Sanaz
    Ranjbar, Navid
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 206
  • [8] Insider Threat Detection using Deep Autoencoder and Variational Autoencoder Neural Networks
    Pantelidis, Efthimios
    Bendiab, Gueltoum
    Shiaeles, Stavros
    Kolokotronis, Nicholas
    [J]. PROCEEDINGS OF THE 2021 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE (IEEE CSR), 2021, : 129 - 134
  • [9] Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images
    Kaur, R.
    GholamHosseini, H.
    Sinha, R.
    [J]. 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 1524 - 1527
  • [10] Jaundice detection by deep convolutional neural network using smartphone images
    Su, Tung-Hung
    Li, Jia-Wei
    Chen, Shann-Ching
    Jiang, Pei-Ying
    Kao, Jia-Horng
    Chou, Cheng-Fu
    [J]. JOURNAL OF HEPATOLOGY, 2021, 75 : S629 - S629
12345