The invention discloses a WSI image quantitative
evaluation system based on cross-scale feature
collaboration and multi-dimensional quality factor fusion, belongs to the technical field of digital
pathological image analysis, and aims at solving the problems that an existing evaluation method is single in dimension and insufficient in robustness and efficiency. The
system obtains a WSI image through scanning, randomly samples a tissue area under a basic
amplification factor, screens out an unclear area by adopting a definition detection method, and feeds back a re-scanning instruction. And for the clear area, synchronously extracting image slices with different objective lens magnifications under the same hierarchy of the
pyramid structure, and constructing a multi-
magnification slice
data set. And carrying out
cell identification and counting based on high-
magnification slices, carrying out bubble area detection and
staining defect identification based on low-
magnification slices, and respectively generating
cell number, slice integrity and
staining quality sub-item scores. And finally, performing weighted fusion on each
item score to obtain a slice comprehensive
quality score, and realizing objective quantitative evaluation on the WSI
image quality.