Sub track:-
Integration of Imaging Modalities, Advanced Image Analysis, Workflow and
Data Management, Enhanced Diagnostic Accuracy. Personalized Medicine, Telemedicine
and Remote Diagnostics, Educational Applications, Regulatory and Ethical
Considerations, Medical Imaging, DigitalPathology, Pathology Imaging,
ImagingInPathology, Digital Health, MedicalImagingTech, PathologyTech,
MedicalImagingInnovation, Digital Diagnostics, AIinMedicalImaging
Medical Imaging Digital Pathology refers to the integration of medical imaging
techniques, such as MRI, CT scans, and X-rays, with digital pathology, which
involves the digitization of traditional pathology practices. This convergence
allows for a more comprehensive and accurate approach to diagnosing and
understanding diseases. Digital pathology is a process that involves digitizing
glass slides to create high-resolution images that can be viewed on a computer
or mobile device. The images are then analysed using an image viewer. Digital
pathology can be used for many purposes, including: Primary diagnosis, Second
opinions, Documentation of lesions, and Precision medicine.
1. Key Components of Medical Imaging in Digital Pathology
a. Whole Slide Imaging (WSI)
Definition: Whole Slide Imaging involves scanning entire
glass slides of tissue samples to create high-resolution digital images.
Technology: Utilizes specialized slide scanners that capture
detailed, high-resolution images of stained tissue sections.
Benefits: Enables virtual examination of slides, long-term
digital storage, and sharing among pathologists.
b. Digital Imaging Systems
Slide Scanners: Devices that convert glass slides into
digital formats by capturing high-resolution images of tissue sections.
Imaging Software: Software platforms that allow pathologists
to view, annotate, and analyze digital images of tissue samples.
c. Image Analysis
Automated Analysis: Employs algorithms and machine learning
models to analyze digital images, assisting in the identification of patterns,
tumors, and other anomalies.