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U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

arXiv.org
Convolutional Neural Networks (CNNs) and Transformers have been the most popular architectures for biomedical image segmentation, but both of them have limited ability to handle long-range dependencies because of inherent locality or computational ...
Jun Ma, Feifei Li, Bo Wang
semanticscholar   +1 more source

Sequence Segmentation

2008
Whole-genome comparisons among mammalian and other eukaryotic organisms have revealed that they contain large quantities of conserved non-protein-coding sequence. Although some of the functions of this non-coding DNA have been identified, there remains a large quantity of conserved genomic sequence that is of no known function.
openaire   +2 more sources

Segment-Anatomie – Segment-Akupunktur

Deutsche Zeitschrift für Akupunktur, 2010
Zusammenfassung Segment-Anatomie und Akupunktur haben ein gemeinsames zentrales Thema: die Zusammenhange und Wechselwirkungen innerhalb des Organismus. Wahrend die chinesische Akupunktur diese durch die Konzepte der Meridiane, Yin und Yang, der Entsprechungssystematik und Ahnliches in ein Ordnungssystem zu fassen versucht, erklart die Segment ...
openaire   +1 more source

Image Segmentation Using Deep Learning: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Shervin Minaee   +2 more
exaly  

SEGMENTAL FORCEPS

Journal of the American Medical Association, 1952
openaire   +2 more sources

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery

ISPRS Journal of Photogrammetry and Remote Sensing, 2022
Libo Wang, RUI LI, Ce Zhang
exaly  

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

IEEE Transactions on Medical Imaging, 2020
Zongwei Zhou   +2 more
exaly  

Segmental Vitiligo

Journal of Cutaneous Medicine and Surgery
Yamini Sihag, Yashdeep Singh Pathania
openaire   +2 more sources

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