Diagnostic Cell Tile Prioritization With Neighboring Tissue Context
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Solution Overview
Problem
Manual review of microscope slides for cellular specimens is time-consuming, prone to human error, and often results in missed diagnoses due to non-systematic and disorganized examination of cells and tissues, with existing computer systems failing to provide adequate context about neighboring cells and tissues.
Innovation Solution
A computer system that automatically scans and analyzes cells and tissues, classifies them by diagnostic importance, and dynamically resizes image tiles based on computer-implemented scoring, presenting them in order of significance to facilitate efficient and accurate diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review of microscope slides is performed, then diagnostic accuracy can be maintained, but review time is excessive and human error is prone
Solution Approach 1:
The slide is divided into multiple tiles that are processed and reviewed independently. The system segments the large slide image into manageable tile units, each of which can be analyzed separately by the computer vision system and presented to the pathologist in an organized manner, reducing the time required to review the entire slide while maintaining diagnostic accuracy.
Solution Approach 2:
The computer system performs preliminary analysis of the slide by automatically detecting and scoring regions of interest before the pathologist reviews them. This preliminary action identifies and prioritizes the most diagnostically significant areas, allowing the pathologist to focus on the most critical regions first and reducing overall review time while maintaining accuracy.
2Reliability
If manual systematic examination of cells is performed, then diagnostic accuracy is maintained, but the process is tedious and error-prone
Solution Approach 1:
The system provides feedback to the pathologist by automatically scoring and ranking tiles based on their diagnostic significance. This feedback mechanism guides the pathologist's review process, highlighting the most important areas and reducing the burden of systematic examination, thereby improving ease of operation while maintaining diagnostic accuracy.
Solution Approach 2:
The system creates digital copies of the slide divided into tiles, which can be reviewed electronically without physically handling the slide. This copying process enables more efficient review by allowing the pathologist to navigate between tiles quickly and focus on highlighted regions, improving ease of operation while maintaining the thoroughness of examination.
3Loss of time
If existing computer systems are used to analyze cells, then review time is reduced, but adequate context about neighboring cells and tissues is not provided
Solution Approach 1:
The system merges multiple pieces of information by combining the tile image with its computer-generated score and contextual information about neighboring regions. This merging creates a comprehensive presentation that includes both the visual data and the analytical context, allowing the pathologist to review time efficiently while receiving adequate information about neighboring cells and tissues through the integrated display.
Data Source
AI summary
A system and method for rendering an interactive display that is used by a pathologist to review a specimen slide. The system renders a series of slides that contain all the information on a digitized slide and presents the tiles in a linear fashion in order of diagnostic significance. Additionally, tiles containing cells having a high degree of abnormality are provided with images of neighboring cells/tissue so that a reviewing pathologist is provided with context which is beneficial for a determination of abnormality.