Automated Diagnosis System For Malaria Detection And Analysis

Image processing and image analysis is a core area of application in computer science. Several research work has contributed and consolidated this domain of research. With the progression and advancement of digital imaging, contribution towards meaningful assessment of images have gained importance. An image captured by some imaging modalities needs to be understood and deciphered to gain insight on the image/s and hence extract pertinent information from the captured image/s. Microscopic examination of cellular and histological samples are widely used as a basis for disease detection. However, with the introduction of advanced digital microscope and high resolution scanners the approach towards pathology had a paradigm shift towards 'virtual microscopy' as an innovation in diagnostic workflow. Handling of glass slides across the labs is cumbersome and susceptible to loss of the slide or decreased quality of the specimen. The associated turnaround time (from the sample collection to report generation) is time consuming. With the increase in reliability of digital equipment like digital imaging technologies, computer hardware and software, there has been persistent acceptance of Digital Pathology in the medical community. Malaria is the oldest and cumulatively the deadliest of the human infectious diseases and is a primary cause of child mortality. The disease is predominantly widespread in tropical climatic regions that are backward and under-developed. Female Anopheles mosquito is the sole vector for the protozoan infectious disease that affects human population. The disease attains epidemic proportions in remote rural areas within a very short time. Prevention of the disease by curtailing the breeding grounds of the vector has proved futile in most areas of the world. The disease can only be managed with early detection, confirmation of species type, stage and density of parasite within the human blood.

• | Author: Sanjay Nag
• | Publisher: Mohd Abdul Sattar
• | Publication Date: Jul 10, 2022
• | Number of Pages: 156 pages
• | Language: English
• | Binding: Paperback/Medical
• | ISBN-10: 2663033901
• | ISBN-13: 9782663033908