General Objective: Model biological processes through the processing of medical and microscopy images using Artificial Intelligence for early detection and analysis of treatments in breast cancer.
Specific objectives:
- Integrate the database with medical and microscopy images from the Radiological Imaging Diagnostic Center, Riobamba – Ecuador and the Microfluidics Laboratory of UTN, Buenos Aires – Argentina.
- Develop a technological platform using software and hardware for intelligent image processing.
- Apply Machine and Deep Learning architectures and develop algorithms for object detection and classification and integrate it with Transfer Learning for performance analysis.
- Validate the results together with experts from the institutions in the imaging and oncology area participating in the proposal.
Participating Institutions:
ESPOCH, UNACH, UTI.
Participants:
Project Director José Luis Morales Gordon
- Ramiro Fernando Isa Jara
- Paola Gabriela Vinueza Naranjo
- Pedro Fernando Escudero Villa
- Manuel Ignacion Ayala Chauvin
- Alfondo Julián Coronel Villacrés
- Betiana Lerner
Awarded budget: $37380,00
Project status: In process
