Magnetic Resonance Imaging Image Feature Analysis Algorithm under Convolutional Neural Network in the Diagnosis and Risk Stratification of Prostate Cancer

Table 1

Gleason grading criteria.

Grading	Manifestation
Gleason1	Cancer tissue is extremely rare. Its borders are very clear, it grows expansively, and it hardly invades the matrix; the carcinomas are simple, usually round, and moderately sized and are packed together; the cytoplasm of cancer cells closely resembles that of benign epithelial cells.
Gleason2	Cancer tissue is rare, which mostly occurs in the transitional area of the prostate. The tumor boundary is not very clear, and the carcinomas are separated by the stroma. They are simple, round, different in size, and irregular in shape and are loosely arranged together.
Gleason3	Cancer tissue is the most common, which mostly occurs in the peripheral area of the prostate. Its most important feature is invasive growth, the carcinomas are of different sizes and shapes, nucleoli are large and red, and the cytoplasm is mostly alkaline staining.
Gleason4	The cancer tissue is poorly differentiated and grows infiltrating; the carcinomas are irregularly fused to form tiny papillary or sieve-shaped, large and red nucleoli; the cytoplasm can be alkaline or gray.
Gleason5	The cancer tissue is very poorly differentiated. The border can be regularly round or irregular, accompanied by invasive growth; the growth form is sheet-like single cell type or acne-like carcinoma type, accompanied by necrosis; cancer cells have large nuclei and large and red nucleoli; cytoplasmic staining may vary.