Improved cell segmentation using deep learning in label-free optical microscopy images

被引:0
|
作者
Ayanzadeh, Aydin [1 ]
Yalçin Özuysal, Özden [2 ]
Pesen Okvur, Devrim [2 ]
Önal, Sevgi [3 ]
TÖreyİn, Behçet Uğur [1 ]
Ünay, Devrim [4 ]
机构
[1] Informatics Institute, Istanbul Technical University, İstanbul, Turkey
[2] Department of Molecular Biology and Genetics, Izmir Institute of Technology, İzmir, Turkey
[3] Biotechnology and Bioengineering Graduate Program, Izmir Institute of Technology, İzmir, Turkey
[4] Department of Electrical and Electronics Engineering, Izmir Democracy University, İzmir, Turkey
关键词
Breast Cancer - Bright-fields - Cell segmentation - Convolutional neural network - MDA-MB-231 - Microscopy images - Optical- - Performance - Phase-contrast - Segmentation;
D O I
暂无
中图分类号
学科分类号
摘要
31
引用
收藏
页码:2855 / 2868
相关论文
共 50 条
  • [11] Label-free grain segmentation for optical microscopy images via unsupervised image-to-image translation
    Na, Juwon
    Lee, Jaejun
    Kang, Seong-Hoon
    Kim, Se-Jong
    Lee, Seungchul
    MATERIALS CHARACTERIZATION, 2023, 206
  • [12] Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning
    Narotamo, Hemaxi
    Sanches, J. Miguel
    Silveira, Margarida
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PT I, 2020, 11867 : 53 - 64
  • [13] Label-Free Nuclear Staining Reconstruction in Quantitative Phase Images Using Deep Learning
    Vicar, Tomas
    Gumulec, Jaromir
    Balvan, Jan
    Hracho, Michal
    Kolar, Radim
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1, 2019, 68 (01): : 239 - 242
  • [14] Deep learning enables label-free nanoparticle localization from bright-field microscopy images
    Lv, Zezhong
    Su, Bing
    Xu, Xia
    Li, Wei
    Cui, Wei
    COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS, 2025, 709
  • [15] Label-free classification of T-cell differentiation via deep learning of hyperspectral stimulated Raman scattering microscopy images
    Manifold, Bryce
    Hu, Ruoqian
    Clark, Elisa
    Kueh, Hao Yuan
    Fu, Dan
    BIOMEDICAL SPECTROSCOPY, MICROSCOPY, AND IMAGING II, 2022, 12144
  • [16] Combined Detection and Segmentation of Cell Nuclei in Microscopy Images Using Deep Learning
    Ram, Sundaresh
    Nguyen, Vicky T.
    Limesand, Kirsten H.
    Rodriguez, Jeffrey J.
    2020 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI 2020), 2020, : 26 - 29
  • [17] FAST DETECTION OF GLIOMA INFILTRATION USING LABEL-FREE OPTICAL MICROSCOPY AND DEEP NEURAL NETWORKS
    Kondepudi, Akhil
    Pekmezci, Melike
    Scotford, Katie
    Jiang, Cheng
    Chowdury, Asadur
    Hou, Xinhai
    Wang, Lin
    Al-Holou, Wajd
    Camelo-Piragua, Sandra
    Lee, Honglak
    Freudiger, Christian
    Berger, Mitchel
    Hervey-Jumper, Shawn
    Hollon, Todd
    NEURO-ONCOLOGY, 2023, 25
  • [18] Automated classification of pancreatic neuroendocrine tumors using label-free multiphoton microscopy and deep learning
    Guan, Shuyuan
    Daigle, Noelle
    Sawyer, Travis W.
    LABEL-FREE BIOMEDICAL IMAGING AND SENSING, LBIS 2024, 2024, 12854
  • [19] Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison
    Tomas Vicar
    Jan Balvan
    Josef Jaros
    Florian Jug
    Radim Kolar
    Michal Masarik
    Jaromir Gumulec
    BMC Bioinformatics, 20
  • [20] Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison
    Vicar, Tomas
    Balvan, Jan
    Jaros, Josef
    Jug, Florian
    Kolar, Radim
    Masarik, Michal
    Gumulec, Jaromir
    BMC BIOINFORMATICS, 2019, 20 (1)