Projetos Ativos

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Titulo do Projeto: AB+K- Use of Information Technologies

  • Principal Investigator: António Megre Sarmento
  • Contato: mailto@
  • Cod. do Projeto: POSC/EIA/55340/2004
  • Data de Inicio: 15/01/2021
  • Data de Termino: 22/09/2021

Project description: Singing is perhaps the most expressive and effective modality for humans to communicate emotions, feelings, ideas, knowledge and artistic attitude. Singing is endogenous to every culture or society and it has always played a key role on the way cultural identity is shaped and transmitted across generations.
While in practice all human individuals develop an appreciation for music and singing, a significant fraction of the world population is strongly committed to educate its singing skills either motivated by personal or professional artistic realization. 


 (Link Interno ou Externo para Projetos)

Titulo do Projeto: Adaptive Learning Systems II

  • Principal Investigator: António Megre Sarmento
  • Contato: mailto@
  • Cod. do Projeto: POSC/EIA/55340/2004
  • Data de Inicio: 15/01/2021
  • Data de Termino: 22/09/2021

Project description: Singing is perhaps the most expressive and effective modality for humans to communicate emotions, feelings, ideas, knowledge and artistic attitude. Singing is endogenous to every culture or society and it has always played a key role on the way cultural identity is shaped and transmitted across generations.

 (Link Interno ou Externo para Projetos)

Titulo do Projeto: Adaptive Learning Systems II

  • Principal Investigator: António Megre Sarmento
  • Contato: mailto@
  • Cod. do Projeto: POSC/EIA/55340/2004
  • Data de Inicio: 15/01/2021
  • Data de Termino: 22/09/2021

Project description: The main goal of the CAGE project is to explore Computer Vision and Human Computer Interaction methodologies in order to improve a clinician’s ability to diagnose Cancer quickly when facing a variety of Gastroenterology imaging modalities. While the goal of developing and deploying a full system for both clinical training and computer assisted decision is clearly too ambitious for a single project, our aims for this proposal are two-fold:

  • Research computer vision algorithms that can extract clinical information from the visual data itself.
  • Study adequate interaction mechanisms for integrating this type of technology into real gastroenterology environments.

We are motivated by the fact that cancer is a leading cause of death worldwide. From a total of 58 million deaths worldwide in 2005, cancer accounts for 7.6 million (or 13%) of all deaths [WHO08]. Gastric (or stomach) cancer is the second most lethal cancer in the World and that with highest mortality in the digestive tract among the Portuguese population. Every year approximately 1,000,000 new cases of gastric cancer are diagnosed worldwide [ACS08]. The follow-up of patients with lesions such as atrophy, intestinal metaplasia or dysplasia may lead into gastric cancer early diagnosis. If a cancer is detected early the prognosis is highly improved, motivating the development of systems that can support such detection or train clinicians to perform this task more efficiently. 

 (Link Interno ou Externo para Projetos)