{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:15:22Z","timestamp":1758672922952,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Accurate segmentation of lesions is crucial for disease diagnosis and treatment planning. However, blurring and low contrast in the imaging process can affect segmentation results. We have observed that noninvasive medical imaging shares considerable similarities with natural images under low light conditions and that nocturnal animals possess extremely strong night vision capabilities. Inspired by the dark vision of these nocturnal animals, we proposed a novel plug-and-play dark vision network (DVNet) to enhance the model's perception for low-contrast medical images. Specifically, by employing the wavelet transform, we decompose medical images into subbands of varying frequencies, mimicking the sensitivity of photoreceptor cells to different light intensities. To simulate the antagonistic receptive fields of horizontal cells and bipolar cells, we design a Mamba-Enhanced Fusion Module to achieve global information correlation and enhance contrast between lesions and surrounding healthy tissues. Extensive experiments demonstrate that the DVNet achieves SOTA performance in various medical image segmentation tasks.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/245","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"2197-2205","source":"Crossref","is-referenced-by-count":0,"title":["Unlocking Dark Vision Potential for Medical Image Segmentation"],"prefix":"10.24963","author":[{"given":"Hongpeng","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of South Carolina"}]},{"given":"Xiangyu","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of South Carolina"}]},{"given":"Yingxin","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University"}]},{"given":"Siyu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University"}]},{"given":"Srihari","family":"Nelakuditi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of South Carolina"}]},{"given":"Yan","family":"Tong","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of South Carolina"}]},{"given":"Shiqiang","family":"Ma","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences"}]},{"given":"Fei","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:33:27Z","timestamp":1758627207000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/245"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/245","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}