Srivastava, Abhishek; Jha, Debesh; Chanda, Sukalpa; Pal, Umapada; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Ali, Sharib; Halvorsen, Pål (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-23)
Methods based on convolutional neural networks have improved the performance of biomedical image
segmentation. However, most of these methods cannot efficiently segment objects of variable sizes and train on small
and biased datasets, which are common for biomedical
use cases. While methods exist that incorporate multi-scale
fusion approaches to address the challenges arising with
variable ...