Exploring Deep Neural Network Architectures for Automated Electron Micrograph Segmentation

被引:1
|
作者
Guay, Matthew D. [1 ]
Emam, Zeyad A. [2 ]
Anderson, Adam B. [3 ]
Leapman, Richard D. [1 ]
机构
[1] NIBIB, NIH, Bethesda, MD USA
[2] Univ Maryland, AMSC, College Pk, MD 20742 USA
[3] Univ Maryland, CMSC, College Pk, MD 20742 USA
关键词
D O I
10.1016/j.bpj.2017.11.1916
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
1700-Pos
引用
收藏
页码:343A / 343A
页数:1
相关论文
共 50 条
  • [31] Improving automated latent fingerprint detection and segmentation using deep convolutional neural network
    Megha Chhabra
    Kiran Kumar Ravulakollu
    Manoj Kumar
    Abhay Sharma
    Anand Nayyar
    [J]. Neural Computing and Applications, 2023, 35 : 6471 - 6497
  • [32] Mitochondria Segmentation in Electron Microscopy Volumes using Deep Convolutional Neural Network
    Oztel, Ismail
    Yolcu, Gozde
    Ersoy, Ilker
    White, Tommi
    Bunyak, Filiz
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 1195 - 1200
  • [33] Automated Search for Configurations of Convolutional Neural Network Architectures
    Ghamizi, Salah
    Cordy, Maxime
    Papadakis, Mike
    Le Traon, Yves
    [J]. SPLC'19: PROCEEDINGS OF THE 23RD INTERNATIONAL SYSTEMS AND SOFTWARE PRODUCT LINE CONFERENCE, VOL A, 2020, : 119 - 130
  • [34] AutoSegNet: An Automated Neural Network for Image Segmentation
    Xu, Zhimin
    Zuo, Si
    Lam, Edmund Y.
    Lee, Byoungho
    Chen, Ni
    [J]. IEEE ACCESS, 2020, 8 : 92452 - 92461
  • [35] Deep Neural Architectures for Medical Image Semantic Segmentation: Review
    Khan, Muhammad Zubair
    Gajendran, Mohan Kumar
    Lee, Yugyung
    Khan, Muazzam A.
    [J]. IEEE ACCESS, 2021, 9 : 83002 - 83024
  • [36] Sparse Scanning Electron Microscopy Data Acquisition and Deep Neural Networks for Automated Segmentation in Connectomics
    Potocek, Pavel
    Trampert, Patrick
    Peemen, Maurice
    Schoenmakers, Remco
    Dahmen, Tim
    [J]. MICROSCOPY AND MICROANALYSIS, 2020, 26 (03) : 403 - 412
  • [37] Exploring Simple Neural Network Architectures for Eye Movement ClassificationExploring Simple Neural Network Architectures for Eye Movement Classification
    Goltz, Jonas
    Grossberg, Michael
    Etemadpour, Ronak
    [J]. ETRA 2019: 2019 ACM SYMPOSIUM ON EYE TRACKING RESEARCH & APPLICATIONS, 2019,
  • [38] Automated skin lesion segmentation using attention-based deep convolutional neural network
    Arora, Ridhi
    Raman, Balasubramanian
    Nayyar, Kritagya
    Awasthi, Ruchi
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 65
  • [39] Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants
    Nogovitsyn, Nikita
    Souza, Roberto
    Muller, Meghan
    Srajer, Amelia
    Hassel, Stefanie
    Arnott, Stephen R.
    Davis, Andrew D.
    Hall, Geoffrey B.
    Harris, Jacqueline K.
    Zamyadi, Mojdeh
    Metzak, Paul D.
    Ismail, Zahinoor
    Bray, Signe L.
    Lebel, Catherine
    Addington, Jean M.
    Milev, Roumen
    Harkness, Kate L.
    Frey, Benicio N.
    Lam, Raymond W.
    Strother, Stephen C.
    Goldstein, Benjamin I.
    Rotzinger, Susan
    Kennedy, Sidney H.
    MacQueen, Glenda M.
    [J]. NEUROIMAGE, 2019, 197 : 589 - 597
  • [40] Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images
    Ngo, Lua
    Cha, Jaepyeong
    Han, Jae-Ho
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29 : 303 - 312