Part 8: Signal Processing in MedicineInternational audienceCancer research and diagnostics is an important frontier to apply the power of computers. Researchers use image processing techniques for a few years now, but diagnostics only start to explore its possibilities. Pathologists specialized in this area usually diagnose by visual inspection, typically through a microscope, or more recently on a computer screen. They examine at tissue specimen or a sample consisting of a population cells extracted from it. The latter area is the area of cytometry that researchers started to support by creating image processing algorithms. The validation of an image processing approach like that is an expensive task both financially and time-wise. This pa...
The quantification of live and dead cells in a substrate is often an essential step in cell biology ...
Abstract:- The problem of diagnosing histological/cytological images is the main objective of this w...
Data registration, i.e., the process of transforming a dataset so that the entities represented are ...
In a clinical setting, accuracy is paramount for medical image analysis tasks such as segmentation a...
International audienceValidation is now considered as a mandatory step in any development of new med...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
DNA Image Cytometry is a method for the early diagnosis and prognosis of cancer.It exploits, as a bi...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
International audienceThe medical profession has changed dramatically in the past decade due to the ...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
International audienceThe medical profession has changed dramatically in the past decade due to the ...
The article describes the classification of automated systems for the processing of biomedical image...
AIMS: Slide digitalization has brought pathology to a new era, including powerful image analysis pos...
The quantification of live and dead cells in a substrate is often an essential step in cell biology ...
Abstract:- The problem of diagnosing histological/cytological images is the main objective of this w...
Data registration, i.e., the process of transforming a dataset so that the entities represented are ...
In a clinical setting, accuracy is paramount for medical image analysis tasks such as segmentation a...
International audienceValidation is now considered as a mandatory step in any development of new med...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
DNA Image Cytometry is a method for the early diagnosis and prognosis of cancer.It exploits, as a bi...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
International audienceThe medical profession has changed dramatically in the past decade due to the ...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
Introduction of computers and image analysis systems to quantify the assessment of living cells for...
International audienceThe medical profession has changed dramatically in the past decade due to the ...
The article describes the classification of automated systems for the processing of biomedical image...
AIMS: Slide digitalization has brought pathology to a new era, including powerful image analysis pos...
The quantification of live and dead cells in a substrate is often an essential step in cell biology ...
Abstract:- The problem of diagnosing histological/cytological images is the main objective of this w...
Data registration, i.e., the process of transforming a dataset so that the entities represented are ...