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A deep learning line to assess patient’s lung cancer stages

Dias, André; Fernandes, João Vieira; Monteiro, Rui; Machado, Joana; Ferraz, Filipa Tinoco; Neves, João; Sampaio, Luzia; Ribeiro, Jorge

Our goal is to pursue a vision of developing and maintaining a comprehensive and integrated computer model to help physicians plan the most appropriate treatment and anticipate a patient’s prospects for the extent of cancer. For example, cancer can be treated at an early stage by surgery or radiation, while chemotherapy may be the care for more advanced stages. In fact, early detection of this type of cancer fa...


Convolutional neural network-based regression for quantification of brain chara...

Fernandes, João Vieira; Alves, Victor; Khalili, Nadieh; Benders, Manon J. N. L.; Išgum, Ivana; Pluim, Josien; Moeskops, Pim

Preterm birth is connected to impairments and altered brain growth. Compared to their term born peers, preterm infants have a higher risk of behavioral and cognitive problems since most part of their brain development is in extra-uterine conditions. This paper presents different deep learning approaches with the objective of quantifying the volumes of 8 brain tissues and 5 other image-based descriptors that qua...


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