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At the same time, the problem of feature loss can be effectively addressed by introducing an attention mechanism. The combined experimental results show that our method can effectively perform aneurysm segmentation, achieving a Dice score of 78.99%, an IoU score of 68.96%, a precision of 85.21%, and a sensitivity score of 80.98%. In polyp segmentation, a Dice score of 88.89%, an IoU score of 81.74%, a precision rate of 91.32%, and a sensitivity score of 91.07% were achieved. Furthermore, our comparison with state-of-the-art techniques demonstrates the competitiveness of the WRANet network.<\/jats:p>","DOI":"10.1007\/s40747-023-01119-y","type":"journal-article","created":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T05:01:45Z","timestamp":1686200505000},"page":"6971-6983","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["WRANet: wavelet integrated residual attention U-Net network for medical image segmentation"],"prefix":"10.1007","volume":"9","author":[{"given":"Yawu","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Shudong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yulin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Sibo","family":"Qiao","sequence":"additional","affiliation":[]},{"given":"Mufei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,8]]},"reference":[{"issue":"4","key":"1119_CR1","doi-asserted-by":"publisher","first-page":"696","DOI":"10.3174\/ajnr.A1884","volume":"31","author":"R Agid","year":"2010","unstructured":"Agid R, Andersson T, Almqvist H et al (2010) Negative CT angiography findings in patients with spontaneous subarachnoid hemorrhage: when is digital subtraction angiography still needed? 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