A new era in computational pathology: A survey on foundation and vision-language models
Dibaloke Chanda, Milan Aryal, Masoud Ganji, Anil Parwani, Nasim Yahya Soltani · 2026
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Description
Dibaloke Chanda and co-authors surveyed in 2026 the newest AI models reshaping how pathologists read tissue slides. Giant foundation models learn broad visual skill from huge slide collections, and vision language models add the words of pathology reports to the training mix.
Older narrow models needed labels for every task. The new giants instead learn a flexible inner picture of tissue that can be bent to many tasks with little extra teaching. Language tied versions can also answer in plain sentences, not just scores. The survey sorts the models into groups and sums up their tools, data sets, and training recipes. The authors chart where the field is heading and what still blocks clinic use.
Catalog record
| CREATOR | Dibaloke Chanda, Milan Aryal, Masoud Ganji, Anil Parwani, Nasim Yahya Soltani |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 160 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |