Browsing by Author "Carneiro, Gustavo"

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  • Galdran, Adrian; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2021)
    A large number of different lesions and pathologies can affect the human digestive system, resulting in life-threatening situations. Early detection plays a relevant role in the successful treatment and the increase of ...
  • Galdran, Adrian; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2021)
    Highly imbalanced datasets are ubiquitous in medical image classification problems. In such problems, it is often the case that rare classes associated to less prevalent diseases are severely under-represented in labeled ...
  • Galdran, Adrian; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2021)
    Polyps represent an early sign of the development of Colorectal Cancer. The standard procedure for their detection consists of colonoscopic examination of the gastrointestinal tract. However, the wide range of polyp shapes ...
  • Galdran, Adrian; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (CEUR Workshop Proceedings, 2021)
    Polyps are among the earliest sign of Colorectal Cancer, with their detection and segmentation representing a key milestone for automatic colonoscopy analysis. This works describes our solution to the EndoCV 2021 challenge, ...
  • Galdran, Adrian; Hewitt, Katherine J.; Ghaffari Laleh, Narmin; Kather, Jakob N.; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2022)
    Tissue typology annotation in Whole Slide histological images is a complex and tedious, yet necessary task for the development of computational pathology models. We propose to address this problem by applying Open Set ...

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