Workshop ID: W202208040002
Tensor Deep versus Radiomics Features;Application of Hybrid Artificial Intelligence frameworks in Medicine
Biological & Medical Sciences / ,
Although handcrafted Radiomics-features (RF) are commonly extracted via radiomics software, employing deep-features (DF) extracting from deep-learning (DL) algorithms merits significant investigation. In addition, a “tensor'' radiomics paradigm where various flavours of a given feature are generated and explored can provide …
This workshop includes:
0:00 hours
Sept. 17, 2022
Downloadable resources
Tehran
Certificate of completion
Timetable:
| Title | Date | Start time | End time | Duration | Video |
|---|---|---|---|---|---|
| Tesnor Deep versus Radiomics Features | Sept. 17, 2022 | 09:00 | 11:00 | 02:00:00 |
Requirements:
Artificial intelligence
Description:
Although handcrafted Radiomics-features (RF) are commonly extracted via radiomics software, employing deep-features (DF) extracting from deep-learning (DL) algorithms merits significant investigation. In addition, a “tensor'' radiomics paradigm where various flavours of a given feature are generated and explored can provide added value. We aimed to employ conventional and tensor DFs and compare their outcome prediction performance to conventional and tensor RFs.