This is a dataset that contains microscope images from two cell lines, namely, a human osteosarcoma cell line (U2OS) and a human leukemia cell line (HL-60). The dataset was originally prepared for the cell counting task. It contains 165 labeled images (training: 133, test: 32). The file contains three folders: - training: 165 labeled images in .tiff format; - test: 32 labeled images in .tiff format. Each labeled image has the following name: X.Y.N.tiff where: X - the name of the human cancer cell line; Y - a condition identifier (irrelevant); N - the cell count. If you use this dataset, please cite the following paper: Lavitt F, Rijlaarsdam DJ, van der Linden D, Weglarz-Tomczak E, Tomczak JM. Deep Learning and Transfer Learning for...
This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-...
Purpose: Computer vision for automated analysis of cells and tissues usually include extracting feat...
The quantitative study of cell morphology is of great importance as the structure and condition of c...
This is a dataset that contains microscope images from two cell lines, namely, a human osteosarcoma ...
In biology and medicine, cell counting is one of the most important elements of cytometry, with appl...
In this thesis we present the development of machine learning algorithms for single cell analysis in...
Image object segmentation allows localising the region of interest in the image (ROI) and separating...
Cell migration and proliferation play an essential role in wound healing, development, and tumorigen...
International audienceIn this paper, we present a work which is performed by biologists and computer...
Cell quantification in histopathology images plays a significant role in understanding and diagnosin...
This dataset includes 16 images of cell culture flasks containing fixed and stained cell colonies us...
Name: Automatic labelling of HeLa “Kyoto” cells using Deep Learning tools Data type: Microscopy ima...
Deep learning is being increasingly applied for obtaining digital microscopy image data of cells. We...
Introduction: Stem cell therapy has been gaining interest in the regeneration rather than repair of ...
BACKGROUND: Semiquantitative evaluation and manual cell counting are the commonly used procedures to...
This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-...
Purpose: Computer vision for automated analysis of cells and tissues usually include extracting feat...
The quantitative study of cell morphology is of great importance as the structure and condition of c...
This is a dataset that contains microscope images from two cell lines, namely, a human osteosarcoma ...
In biology and medicine, cell counting is one of the most important elements of cytometry, with appl...
In this thesis we present the development of machine learning algorithms for single cell analysis in...
Image object segmentation allows localising the region of interest in the image (ROI) and separating...
Cell migration and proliferation play an essential role in wound healing, development, and tumorigen...
International audienceIn this paper, we present a work which is performed by biologists and computer...
Cell quantification in histopathology images plays a significant role in understanding and diagnosin...
This dataset includes 16 images of cell culture flasks containing fixed and stained cell colonies us...
Name: Automatic labelling of HeLa “Kyoto” cells using Deep Learning tools Data type: Microscopy ima...
Deep learning is being increasingly applied for obtaining digital microscopy image data of cells. We...
Introduction: Stem cell therapy has been gaining interest in the regeneration rather than repair of ...
BACKGROUND: Semiquantitative evaluation and manual cell counting are the commonly used procedures to...
This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-...
Purpose: Computer vision for automated analysis of cells and tissues usually include extracting feat...
The quantitative study of cell morphology is of great importance as the structure and condition of c...