Automated pancreatic mass segmentation in computer tomography images using a voting ensemble method based on encoder-decoder architectures

Pancreatic cancer poses significant challenges in early diagnosis, with a high mortality rate of 98%, and is responsible for 4.7% of cancer deaths. Early diagnosis, mainly done by imaging exams, is the main factor that determines prognosis. While it is common to perform cascaded segmentation, the us...

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Vydané v:	Procedia computer science Ročník 256; s. 1167 - 1174
Hlavní autori:	Araújo, Alexandre de Carvalho, de Almeida, João Dallyson Sousa, de Paiva, Anselmo Cardoso, Júnior, Geraldo Braz
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2025
Predmet:	Encoder-Decoder architecture Ensemble Model Pancreatic mass Pancreatic mass Ensemble Model Encoder-Decoder architecture
ISSN:	1877-0509, 1877-0509
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