Add to ORKGIn this paper we discuss applications of pattern recognition and image processing to automatic processing and analysis of histopathological images. We focus on counting of Red and White blood cells using microscopic images of blood smear samples. We provide literature survey and point out new challenges. We present an improved cell counting algorithm
Abstract: In many medical applications, computer vision is required to step behind the image preproc...
Automated blood cell counting instruments are very important tools, daily used by haematologists and...
The counting and analysis of blood cells allows the evaluation and diagnosis of a vast number of dis...
The main purpose of this study is to employ the modern technologies and techniques to semi-automate ...
For medical diagnosis, blood is an indispensable indicator for a wide variety of diseases, i.e. hemi...
International audienceVisual examination of blood and bone marrow smears is an important tool for di...
Blood cell segmentation is an important innovation for automatic differential blood counting, classi...
In this work we develop a system for automatic detection and classification of cytological images wh...
A technique for automating the differential count of blood is presented. The proposed system takes, ...
In this paper we present a machine learning-based approach for detecting platelet cells in microscop...
The counting and classification of blood cells allow for the evaluation and diagnosis of avast numbe...
The differential count and analysis of blood cells in microscope images can provide useful informati...
The counting and analysis of blood cells allows the evaluation and diagnosis of a vast number of dis...
Blood cell segmentation and identification are centered on the pre-processing of the image,\ud segme...
In this paper, we propose a novel and efficient method for detecting and quantifying red and white b...
Abstract: In many medical applications, computer vision is required to step behind the image preproc...
Automated blood cell counting instruments are very important tools, daily used by haematologists and...
The counting and analysis of blood cells allows the evaluation and diagnosis of a vast number of dis...
The main purpose of this study is to employ the modern technologies and techniques to semi-automate ...
For medical diagnosis, blood is an indispensable indicator for a wide variety of diseases, i.e. hemi...
International audienceVisual examination of blood and bone marrow smears is an important tool for di...
Blood cell segmentation is an important innovation for automatic differential blood counting, classi...
In this work we develop a system for automatic detection and classification of cytological images wh...
A technique for automating the differential count of blood is presented. The proposed system takes, ...
In this paper we present a machine learning-based approach for detecting platelet cells in microscop...
The counting and classification of blood cells allow for the evaluation and diagnosis of avast numbe...
The differential count and analysis of blood cells in microscope images can provide useful informati...
The counting and analysis of blood cells allows the evaluation and diagnosis of a vast number of dis...
Blood cell segmentation and identification are centered on the pre-processing of the image,\ud segme...
In this paper, we propose a novel and efficient method for detecting and quantifying red and white b...
Abstract: In many medical applications, computer vision is required to step behind the image preproc...
Automated blood cell counting instruments are very important tools, daily used by haematologists and...
The counting and analysis of blood cells allows the evaluation and diagnosis of a vast number of dis...