A multi-scale attention-based Swin transformer model for medical images segmentation

Abstract Medical image segmentation is crucial in accurately diagnosing diseases and assisting physicians in examining relevant areas. Therefore, there is a pressing need for an artificial intelligence-based model that can facilitate the diagnostic process and reduce errors. Existing networks often...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Benyamin Mirab Golkhatmi, Mahboobeh Houshmand, Seyyed Abed Hosseini
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2025-11-01
Serija:	Scientific Reports
Teme:	Swin transformer Convolutional block attention module Receptive field block Depthwise separable convolutions Medical image segmentation
Online dostop:	https://doi.org/10.1038/s41598-025-22649-0
Oznake:	Označite Brez oznak, prvi označite!