Cytological Image Processing Segments Nuclear Blocks
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Solution Overview
Problem
Conventional clinical cytological examinations rely heavily on subjective interpretation of cytological images, leading to inconsistent diagnosis results among doctors and reduced accuracy in determining patient illness conditions.
Innovation Solution
A cytological image processing device and method that segment nuclear blocks from cytological images, generating quantified parameters such as nuclear polarity, intranuclear cytoplasmic pseudoinclusions, and nuclear overlapping and molding indices, along with a nuclei-to-cytoplasm color ratio, to provide objective analysis and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective interpretation of cytological images is used for diagnosis, then the process is simple and quick, but the diagnosis results are inconsistent and accuracy is reduced
Solution Approach 1:
The patent segments the cytological image into multiple components including nuclear blocks, cytoplasmic regions, and background areas. By dividing the image into distinct segments and analyzing each separately, the system extracts quantitative features such as nuclear-to-cytoplasmic ratios, nuclear morphology parameters, and cellular distribution patterns, thereby improving diagnosis accuracy through objective measurement.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the cytological image and the diagnosis. This intermediary automatically extracts quantitative parameters and generates analyzed images that assist doctors in making more accurate and consistent diagnoses, reducing the variability caused by subjective interpretation.
2Reliability
If advanced processing is performed on cytological images to obtain quantified parameters, then diagnosis accuracy is improved, but the processing time and complexity increase
Solution Approach 1:
The patent performs preliminary processing steps such as background removal, nuclear block segmentation, and cytoplasmic region identification automatically during the image analysis phase. By preparing these quantitative parameters in advance, the system enables doctors to quickly access reliable diagnostic information without requiring additional time during the diagnosis process.
Solution Approach 2:
The patent transforms the cytological image from a qualitative visual representation into quantitative parameters such as nuclear-to-cytoplasmic ratios, nuclear area, cytoplasmic area, and cellular density. This parameter transformation automates the analysis process, improving diagnosis consistency while reducing the time required for manual measurement and evaluation.
Data Source
AI summary
A cytological image processing device, a method for quantifying characteristics of cytological image and a non-transitory computer readable medium thereof are provided. The cytological image processing device executes the method including the steps: loading a cytological image with a plurality of pixels; removing a background part from the cytological image according to at least one of a plurality of color attributes of each pixel of the cytological image in a color space to obtain a background-subtracted image; dividing the background-subtracted image into a nuclear part and a cytoplasmic part; detecting a plurality of edge pixels in the background-subtracted image to segment a plurality of nuclear blocks in the background-subtracted image; generating a parameter set according to the nuclear blocks; and generating an output image by visualizing the background-subtracted image.