Detecting Leukaemia (AML) Blood Cells Using Cellular Automata and Heuristic Search
نویسندگان
چکیده
This paper presents a method for the identification of leukaemia cells within images of blood smear microscope slides, which is currently a time consuming manual process. The work presented is the first stage of a procedure aimed at classifying the sub-types of Acute Myeloid Leukaemia. This paper utilises the techniques of Otsu, Cellular Automata and heuristic search and highlights a comparison between random and seeded searches. We present a novel Cellular Automata based technique that helps to remove noise from the images and additionally locates good starting points for candidate white blood cells. Our results are based on real world image data from a Haematology Department, and our analysis shows promising initial results.
منابع مشابه
The Detection and Classification of blast cell in Leukaemia Acute Promyelocytic Leukaemia ( AML M3) blood using Simulated Annealing and Neural Networks
This paper presents a method for the detection and classification of blast cells in M3 with others sub-types using simulated annealing and neural networks. In this paper, we increased our test result from 10 images to 20 images. We performed Hill Climbing, Simulated Annealing and Genetic Algorithms for detecting the blast cells. As a result, simulated annealing is the “best” heuristic search fo...
متن کاملA Novel Approach for Detecting Relationships in Social Networks Using Cellular Automata Based Graph Coloring
All the social networks can be modeled as a graph, where each roles as vertex and each relationroles as an edge. The graph can be show as G = [V;E], where V is the set of vertices and E is theset of edges. All social networks can be segmented to K groups, where there are members in eachgroup with same features. In each group each person knows other individuals and is in touch ...
متن کاملExpression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow
Background Classification of cancer subtypes by means of microarray signatures is becoming increasingly difficult to ignore as a potential to transform pathological diagnosis nonetheless, measurement of Indicator genes in routine practice appears to be arduous. In a preceding published study, we utilized real-time PCR measurement of Indicator genes in acute lymphoid leukaemia (ALL) and acute m...
متن کاملUrban Growth Modeling using Integrated Cellular Automata and Gravitational Search Algorithm (Case Study: Shiraz City, Iran)
Cities are growing and encountering many changes over time due to population growth and migration. Identification and detection of these changes play important roles in urban management and sustainable development. Urban growth models are divided into two main categories: first cellular models which are further divided into experimental, dynamic, and integrated models and second vector models. ...
متن کاملThe Effect of Monophosphoryl Lipid A on Maturation of DCs from Patients with Acute Myeloid Leukaemia
Background: Generation of monocyte-derived dendritic cells (MDDC) is induced in the presence of GM-CSF and IL-4, and a maturation stimulus is added to the monocyte culture to obtain mature Dendritic Cells (DCs) suitable for therapy. TNF-α is the most common cytokine used for activating DCs and generating mature MDDC either alone or in combination with other cytokines. Objective: To compare effe...
متن کامل