| Title | Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Yan, C, Nakane K, Wang X, Fu Y, Lu H, Fan X, Feldman MD, Madabhushi A, Xu J |
| Journal | Computer methods and programs in biomedicine |
| Volume | 194 |
| Pagination | 105528 |
| Date Published | 2020 Oct |
| ISSN | 1872-7565 |
| Abstract | Gleason grading system is currently the clinical gold standard for determining prostate cancer aggressiveness. Prostate cancer is typically classified into one of 5 different categories with 1 representing the most indolent disease and 5 reflecting the most aggressive disease. Grades 3 and 4 are the most common and difficult patterns to be discriminated in clinical practice. Even though the degree of gland differentiation is the strongest determinant of Gleason grade, manual grading is subjective and is hampered by substantial inter-reader disagreement, especially with regard to intermediate grade groups. |
| DOI | 10.1016/j.cmpb.2020.105528 |
| PDF Link | |
| Alternate Journal | Comput Methods Programs Biomed |
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