A simple morphometric algorithm based on nuclear atypia features of invasive breast carcinoma: relationship with nuclear grade, Ki-67 level, and hormone receptor status
Tomohiro Tsuru, Takanori Watanabe, Keita Kouzu, Youji Yamagishi, Takahiro Einama, Tamio Yamasaki, Hironori Tsujimoto, Yoji Kishi, Hideki Ueno, Hitoshi Tsuda · 2026
Read A simple morphometric algorithm based on nuclear atypia features of invasive breast carcinoma: relationship with nuclear grade, Ki-67 level, and hormone receptor status by Tomohiro Tsuru, Takanori Watanabe, Keita Kouzu, Youji Yamagishi, Takahiro Einama, Tamio Yamasaki, Hironori Tsujimoto, Yoji Kishi, Hideki Ueno, Hitoshi Tsuda (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13283171.txt.
Description
Tomohiro Tsuru and co-authors built a simple image method in 2026 for scoring odd-looking cancer cell nuclei in breast tumours. Deep learning tools can read such slides, yet their reasoning stays hidden, which limits measured study of cell shape. The team instead measured three clear features: spread in nucleus size, uneven colour density inside nuclei, and size of prominent nucleoli.
The method ran on more than 43,000 nucleus images from 131 invasive cancers. Single cut-offs predicted tumour grade, growth marker level, and hormone status with mixed accuracy. Combined models did better, reaching solid scores across all three targets. A check on 42 further tumours followed. The authors offer the tool as a transparent aid for pathology research.
Catalog record
| CREATOR | Tomohiro Tsuru, Takanori Watanabe, Keita Kouzu, Youji Yamagishi, Takahiro Einama, Tamio Yamasaki, Hironori Tsujimoto, Yoji Kishi, Hideki Ueno, Hitoshi Tsuda |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |