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pro vyhledávání: '"Berthier, Tess"'
Autor:
Sylvain, Tristan, Dutil, Francis, Berthier, Tess, Di Jorio, Lisa, Luck, Margaux, Hjelm, Devon, Bengio, Yoshua
In hospitals, data are siloed to specific information systems that make the same information available under different modalities such as the different medical imaging exams the patient undergoes (CT scans, MRI, PET, Ultrasound, etc.) and their assoc
Externí odkaz:
http://arxiv.org/abs/2010.10593
Autor:
Taghanaki, Saeid Asgari, Havaei, Mohammad, Berthier, Tess, Dutil, Francis, Di Jorio, Lisa, Hamarneh, Ghassan, Bengio, Yoshua
The scarcity of richly annotated medical images is limiting supervised deep learning based solutions to medical image analysis tasks, such as localizing discriminatory radiomic disease signatures. Therefore, it is desirable to leverage unsupervised a
Externí odkaz:
http://arxiv.org/abs/1903.11741
Autor:
Taghiakbari, Mahsa, Ghalehjegh, Sina Hamidi, Jehanno, Emmanuel, Berthier, Tess, Jorio, Lisa di, Ghadakzadeh, Saber, Barkun, Alan, Takla, Mark, Bouin, Mickael, Deslandres, Eric, Bouchard, Simon, Sidani, Sacha, Bengio, Yoshua, Renteln, Daniel von
Publikováno v:
Journal of the Canadian Association of Gastroenterology; Aug2023, Vol. 6 Issue 4, p145-151, 7p