Information
INCISIVE is a 42-months research project, funded under the call DT-TDS-05-2020 – AI for Health Images.
The INCISIVE project aims to develop and validate a multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer.
In its lifetime, INCISIVE will make use of multimodal data sources, including imaging, biological and Electronic Health Record (HER) to develop AI inference services for decision-support related to the management of cancer cases, as below:
For lung cancer:
- Chest X-rays classification
- CT scan segmentation
- PET/CT scan segmentation
- Cancer Staging
- 1-year metastasis risk prediction
For breast cancer:
- Mammography normal/suspicious classification
- Mammography Lesion Segmentation
- Mammography Breast density classification
- Mammography BIRADS classification
For prostate cancer:
- Instance Segmentation
- Lesion Segmentation
- ISUP Score Classification
For colorectal cancer:
- Lesion Segmentation
- Histopathological Image Analysis
For more information please visit https://incisive-project.eu/
Collaborations
![European Cancer Imaging Initiative](https://share.incisive.magrnd.com/wp-content/uploads/2023/04/European-Cancer-Imaging-Initiative-768x325.jpg)
![EUCAIM project](https://share.incisive.magrnd.com/wp-content/uploads/2023/04/Zeichenflache-1-logo-4c-768x183.png)
![European Health Data Space (EHDS)](https://share.incisive.magrnd.com/wp-content/uploads/2023/04/FRwQgRnXIAIrpwZ-768x432.jpg)