{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T23:20:26Z","timestamp":1782170426586,"version":"3.54.5"},"reference-count":47,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T00:00:00Z","timestamp":1697500800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shenzhen University","award":["86901\/010211"],"award-info":[{"award-number":["86901\/010211"]}]},{"name":"Shenzhen University","award":["360230"],"award-info":[{"award-number":["360230"]}]},{"DOI":"10.13039\/501100010096","name":"Shunde Hospital, Southern Medical University","doi-asserted-by":"publisher","award":["86901\/010211"],"award-info":[{"award-number":["86901\/010211"]}],"id":[{"id":"10.13039\/501100010096","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010096","name":"Shunde Hospital, Southern Medical University","doi-asserted-by":"publisher","award":["360230"],"award-info":[{"award-number":["360230"]}],"id":[{"id":"10.13039\/501100010096","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Pathological conditions in diabetic feet cause surface temperature variations, which can be captured quantitatively using infrared thermography. Thermal images captured during recovery of diabetic feet after active cooling may reveal richer information than those from passive thermography, but diseased foot regions may exhibit very small temperature differences compared with the surrounding area, complicating plantar foot segmentation in such cold-stressed active thermography. In this study, we investigate new plantar foot segmentation methods for thermal images obtained via cold-stressed active thermography without the complementary information from color or depth channels. To better deal with the temporal variations in thermal image contrast when planar feet are recovering from cold immersion, we propose an image pre-processing method using a two-stage adaptive gamma transform to alleviate the impact of such contrast variations. To improve upon existing deep neural networks for segmenting planar feet from cold-stressed infrared thermograms, a new deep neural network, the Plantar Foot Segmentation Network (PFSNet), is proposed to better extract foot contours. It combines the fundamental U-shaped network structure, a multi-scale feature extraction module, and a convolutional block attention module with a feature fusion network. The PFSNet, in combination with the two-stage adaptive gamma transform, outperforms multiple existing deep neural networks in plantar foot segmentation for single-channel infrared images from cold-stressed infrared thermography, achieving an accuracy of 97.3% and 95.4% as measured by Intersection over Union (IOU) and Dice Similarity Coefficient (DSC) respectively.<\/jats:p>","DOI":"10.3390\/s23208511","type":"journal-article","created":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T08:25:09Z","timestamp":1697531109000},"page":"8511","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Diabetic Plantar Foot Segmentation in Active Thermography Using a Two-Stage Adaptive Gamma Transform and a Deep Neural Network"],"prefix":"10.3390","volume":"23","author":[{"given":"Zhenjie","family":"Cao","sequence":"first","affiliation":[{"name":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518000, China"},{"name":"College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi","family":"Zeng","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China"},{"name":"Shunde Hospital, Southern Medical University, Foshan 528000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinfang","family":"Xie","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Zhai","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yibin","family":"Tian","sequence":"additional","affiliation":[{"name":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/S2213-8587(13)70112-8","article-title":"Diabetes: A 21st century challenge","volume":"2","author":"Zimmet","year":"2014","journal-title":"Lancet Diabetes Endocrinol."},{"key":"ref_2","unstructured":"International Diabetes Federation (2021). 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