Many techniques have been developed during last 10 years for cell recognition in biomedical images. Differences depend on both application field and researcher's scientific background. We consider here methods most commonly used for cell extraction in biomedical images. We briefly review a number of papers that are representative of the various approache
International audienceThe authors are concerned with the segmentation of cytological images in order...
International audienceTo design an automated system for the classification of cells based on analysi...
Abstract- An automatic image segmentation system can make the inspection procedure of blood smear mu...
Image processing technique applies in different domains, such as medical, remote sensing and securit...
Medical image processing is a very active and fast-growing field that has evolved into an establishe...
Blood cell segmentation is an important innovation for automatic differential blood counting, classi...
This paper presents the process of segmentation of color biomedical images. We take into account mic...
Image segmentation plays an important role in medical images. It has been a relevant research area i...
This book deals with medical image analysis methods. In particular, it contains two significant chap...
Advances in optical microscopy, biosensors and cell culturing technologies have transformed live cel...
Medical imaging has become an important part of diagnosing, early detection, and treating cancers. I...
One of the most significant current discussions in the medical field is a medical image, especially ...
Summary. This chapter gives an introduction to the methods of biomedical image processing. After som...
The analysis of the different types of cells in blood is routinely used in today's medical practice ...
Abstract. Automatic cell segmentation has various applications in cytometry, and while the nucleus i...
International audienceThe authors are concerned with the segmentation of cytological images in order...
International audienceTo design an automated system for the classification of cells based on analysi...
Abstract- An automatic image segmentation system can make the inspection procedure of blood smear mu...
Image processing technique applies in different domains, such as medical, remote sensing and securit...
Medical image processing is a very active and fast-growing field that has evolved into an establishe...
Blood cell segmentation is an important innovation for automatic differential blood counting, classi...
This paper presents the process of segmentation of color biomedical images. We take into account mic...
Image segmentation plays an important role in medical images. It has been a relevant research area i...
This book deals with medical image analysis methods. In particular, it contains two significant chap...
Advances in optical microscopy, biosensors and cell culturing technologies have transformed live cel...
Medical imaging has become an important part of diagnosing, early detection, and treating cancers. I...
One of the most significant current discussions in the medical field is a medical image, especially ...
Summary. This chapter gives an introduction to the methods of biomedical image processing. After som...
The analysis of the different types of cells in blood is routinely used in today's medical practice ...
Abstract. Automatic cell segmentation has various applications in cytometry, and while the nucleus i...
International audienceThe authors are concerned with the segmentation of cytological images in order...
International audienceTo design an automated system for the classification of cells based on analysi...
Abstract- An automatic image segmentation system can make the inspection procedure of blood smear mu...