Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges

The recent rise of deep learning (DL) and its promising capabilities in capturing non-explicit detail from large datasets have attracted substantial research attention in the field of medical image processing. DL provides grounds for technological development of computer-aided diagnosis and segmenta...

Cijeli opis

Bibliografski detalji

Glavni autori:	Reza Kalantar, Gigin Lin, Jessica M. Winfield, Christina Messiou, Susan Lalondrelle, Matthew D. Blackledge, Dow-Mu Koh
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-10-01
Serija:	Diagnostics
Teme:	deep learning pelvic cancer segmentation radiology radiation oncology radiotherapy planning
Online pristup:	https://www.mdpi.com/2075-4418/11/11/1964
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!