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The sequence prediction of the S2S neural network is adopted to represent the offloading decision process within the DAG. Next, a distributed collaborative processing algorithm is designed on the edge layer to further improve run efficiency. Finally, the DCDO-DRL strategy follows the discrete soft actor-critic method to improve the robustness of the S2S neural network. The numerical results prove the convergence and statistical superiority of the DCDO-DRL strategy. Compared with other algorithms, the DCDO-DRL strategy improves the execution utility of the RIDM task by at least 23.07, 12.77, and 8.51% in the three scenarios.<\/jats:p>","DOI":"10.1007\/s40747-023-01322-x","type":"journal-article","created":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T03:02:50Z","timestamp":1706497370000},"page":"3283-3304","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["DRL-based dependent task offloading with delay-energy tradeoff in medical image edge computing"],"prefix":"10.1007","volume":"10","author":[{"given":"Qi","family":"Liu","sequence":"first","affiliation":[]},{"given":"Zhao","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Ning","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2284-5763","authenticated-orcid":false,"given":"Yusong","family":"Lin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,29]]},"reference":[{"issue":"1","key":"1322_CR1","doi-asserted-by":"publisher","first-page":"21","DOI":"10.2991\/jaims.d.210428.002","volume":"2","author":"X Wang","year":"2021","unstructured":"Wang X, Zhang Y, Guo Z, Li J (2021) TMRGM: a template-based multi-attention model for X-ray imaging report generation. 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