Related references
Note: Only part of the references are listed.The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death
Tomas Vicar et al.
SCIENTIFIC REPORTS (2020)
UNet plus plus : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets
Daniel Riccio et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
Peter Naylor et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Weakly supervised mitosis detection in breast histopathology images using concentric loss
Chao Li et al.
MEDICAL IMAGE ANALYSIS (2019)
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk et al.
NATURE METHODS (2019)
Automated Individualization of Size-Varying and Touching Neurons in Macaque Cerebral Microscopic Images
Zhenzhen You et al.
FRONTIERS IN NEUROANATOMY (2019)
AdaptIS: Adaptive Instance Selection Network
Konstantin Sofiiuk et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
DECONVOLVING CONVOLUTIONAL NEURAL NETWORK FOR CELL DETECTION
Shan E. Ahmed Raza et al.
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019) (2019)
Microscopy cell counting and detection with fully convolutional regression networks
Weidi Xie et al.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION (2018)
An objective comparison of cell-tracking algorithms
Vladimir Ulman et al.
NATURE METHODS (2017)
Semantic Instance Segmentation for Autonomous Driving
Bert De Brabandere et al.
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)
Segmentation of overlapping cells in cervical smears based on spatial relationship and Overlapping Translucency Light Transmission Model
Jianwei Zhang et al.
PATTERN RECOGNITION (2016)
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
Yong He et al.
SCIENTIFIC REPORTS (2015)
You Should Use Regression to Detect Cells
Philipp Kainz et al.
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, PT III (2015)
iDISCO: A Simple, RapidMethod to Immunolabel Large Tissue Samples for Volume Imaging
Nicolas Renier et al.
CELL (2014)
Stereological estimation of total cell numbers in the human cerebral and cerebellar cortex
Solveig Walloe et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2014)
Dense nuclei segmentation based on graph cut and convexity-concavity analysis
J. Qi
JOURNAL OF MICROSCOPY (2014)
Segmentation of clustered nuclei based on concave curve expansion
C. Zhang et al.
JOURNAL OF MICROSCOPY (2013)
Total Numbers of Neurons and Glial Cells in Cortex and Basal Ganglia of Aged Brains with Down Syndrome-A Stereological Study
Anna Schou Karlsen et al.
CEREBRAL CORTEX (2011)
Cell loss in the motor and cingulate cortex correlates with symptomatology in Huntington's disease
Doris C. V. Thu et al.
BRAIN (2010)
Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images
Yousef Al-Kofahi et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
Statistical Analysis of 3D Images Detects Regular Spatial Distributions of Centromeres and Chromocenters in Animal and Plant Nuclei
Philippe Andrey et al.
PLOS COMPUTATIONAL BIOLOGY (2010)
How good is the macaque monkey model of the human brain?
Richard Passingham
CURRENT OPINION IN NEUROBIOLOGY (2009)
Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle
Jean Cousty et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2009)
Neocortical glial cell numbers in human brains
D. P. Pelvig et al.
NEUROBIOLOGY OF AGING (2008)
Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and Kalman filter in time-lapse microscopy
Xiaodong Yang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2006)
The postnatal development of neocortical neurons and glial cells in the Gottingen minipig and the domestic pig brain
J Jelsing et al.
JOURNAL OF EXPERIMENTAL BIOLOGY (2006)
Total number of cells in the human newborn telencephalic wall
C. C. Larsen et al.
NEUROSCIENCE (2006)
Color image segmentation: advances and prospects
HD Cheng et al.
PATTERN RECOGNITION (2001)