Detecting colorectal polyps in colonoscopy: What can deep learning do?
dc.contributor
dc.contributor.author
dc.contributor.other
dc.date.accessioned
2023-02-01T09:22:16Z
dc.date.available
2023-02-01T09:22:16Z
dc.date.issued
2022-06-01
dc.identifier.uri
dc.description.abstract
Colorectal cancer (CRC) is the third leading cause of cancer-related deaths
in men and women, and the second most common cause of cancer deaths in
the world when men and women are combined, with nearly 1 million patients
who die every year [H.Sung 2021]. CRC is characterized by the unchecked division of abnormal cells in the colon or rectum. Most of the time it begins as
a polyp, which is a noncancerous growth that develops in the mucosal layer of
the colon or rectum. Once a polyp progresses to cancer, it can grow into the
wall of the colon or rectum where it may invade blood or lymph vessels that
carry away cellular waste and fluid (Figure 1.1). Cancer cells are then spread
to other organs and tissues, forming tumors
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.relation.ispartofseries
Enginyeria Informàtica (TFG)
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri
dc.subject
dc.title
Detecting colorectal polyps in colonoscopy: What can deep learning do?
dc.type
info:eu-repo/semantics/bachelorThesis
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.audience.educationlevel
Estudis de grau