BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior

Author:

Ou YanglanORCID,Huang Sharon X.,Wong Kelvin K.,Cummock Jonathon,Volpi John,Wang James Z.,Wong Stephen T.C.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference40 articles.

1. Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks;Abramova;Comput. Med. Imaging Graph.,2021

2. Is stroke the most common cause of disability?;Adamson;J. Stroke Cerebrovasc. Dis.,2004

3. Imaging in acute stroke;Birenbaum;West. J. Emerg. Med.,2011

4. Transunet: Transformers make strong encoders for medical image segmentation;Chen,2021

5. Detection of diffusion-weighted MRI abnormalities in patients with transient ischemic attack: correlation with clinical characteristics;Crisostomo;Stroke,2003

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