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In this paper, we propose a novel deep learning approach called Residual-Atrous MultiResUnet with Channel Attention Mechanism (RAMRU-CAM) for cell segmentation, which combines MultiResUnet architecture with Channel Attention Mechanism (CAM) and Residual-Atrous connections. The Residual-Atrous path mitigates the semantic gap between the encoder and decoder stages and manages the spatial dimension of feature maps. Furthermore, the Channel Attention Mechanism (CAM) blocks are used in the decoder stages to better maintain the spatial details before concatenating the feature maps from the encoder phases to the decoder phases. We evaluated our proposed model on the PhC-C2DH-U373 and Fluo-N2DH-GOWT1 datasets. The experimental results show that our proposed model outperforms recent variants of the U-Net model and the state-of-the-art approaches. We have demonstrated how our model can segment cells precisely while using fewer parameters and low computational complexity.<\/jats:p>","DOI":"10.3233\/jifs-222631","type":"journal-article","created":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T12:55:24Z","timestamp":1671540924000},"page":"4759-4777","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["RAMRU-CAM: Residual-Atrous MultiResUnet with Channel Attention Mechanism for cell segmentation"],"prefix":"10.1177","volume":"44","author":[{"given":"Ammar A.","family":"Alabdaly","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, Alexandria University, Alexandria, Egypt"}]},{"given":"Wagdy G.","family":"El-Sayed","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Alexandria University, Alexandria, Egypt"}]},{"given":"Yasser F.","family":"Hassan","sequence":"additional","affiliation":[{"name":"Faculty of Computer and Data Science, Alexandria University, Alexandria, Egypt"}]}],"member":"179","published-online":{"date-parts":[[2022,12,16]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-020-00543-7"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.4473"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2766168"},{"key":"e_1_3_2_5_2","doi-asserted-by":"crossref","unstructured":"HuangX. 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