# Artificial intelligence for renal cancer: From imaging to histology and beyond

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-for-renal-cancer-from-imaging-to-histology-and-beyond/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Karl‐Friedrich Kowalewski,Luisa Egen,Chanel Fischetti,Stefano Puliatti,Gomez Rivas Juan,Mark Taratkin,Rivero Belenchon Ines,Marie Angela Sidoti Abate,Julia Mühlbauer,Frederik Wessels,Enrico Checcucci,Giovanni Cacciamani |
| Citations | 39 |
| DOI | 10.1016/j.ajur.2022.05.003 |
| Fields | Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/j.ajur.2022.05.003 |
| OpenAlex ID | https://openalex.org/W4283075503 |
| PMID | 36035341 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Chanel Fischetti](https://scholariq.org/researchers/chanel-fischetti/)

## Paper primary topic

- [Renal cell carcinoma treatment](https://scholariq.org/topics/renal-cell-carcinoma-treatment/)

## Paper topics

- [Renal cell carcinoma treatment](https://scholariq.org/topics/renal-cell-carcinoma-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.