{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T11:23:27Z","timestamp":1763810607121,"version":"3.41.0"},"reference-count":45,"publisher":"Association for Computing Machinery (ACM)","issue":"2s","license":[{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2021,6,21]]},"abstract":"<jats:p>\n            This study aims to process the private medical data over eHealth cloud platform. The current pandemic situation, caused by Covid19 has made us to realize the importance of automatic remotely operated independent services, such as cloud. However, the cloud servers are developed and maintained by third parties, and may access user\u2019s data for certain benefits. Considering these problems, we propose a specialized method such that the patient\u2019s rights and changes in medical treatment can be preserved. The problem arising due to Melanoma skin cancer is carefully considered and a privacy-preserving cloud-based approach is proposed to achieve effective skin lesion segmentation. The work is accomplished by the development of a\n            <jats:italic>Z<\/jats:italic>\n            -score-based local color correction method to differentiate image pixels from ambiguity, resulting the segmentation quality to be highly improved. On the other hand, the privacy is assured by partially order homomorphic\n            <jats:bold>Permutation Ordered Binary (POB)<\/jats:bold>\n            number system and image permutation. Experiments are performed over publicly available images from the ISIC 2016 and 2017 challenges, as well as PH\n            <jats:inline-formula>\n              <jats:alternatives>\n                <jats:tex-math>\n                  \n                <\/jats:tex-math>\n              <\/jats:alternatives>\n            <\/jats:inline-formula>\n            dataset, where the proposed approach is found to achieve significant results over the encrypted images (known as encrypted domain), as compared to the existing schemes in the plain domain (unencrypted images). We also compare the results with the winners of the ISBI 2016 and 2017 challenges, and show that the proposed approach achieves a very close result with them, even after processing test images in the encrypted domain. Security of the proposed approach is analyzed using a challenge-response game model.\n          <\/jats:p>","DOI":"10.1145\/3430806","type":"journal-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T12:55:42Z","timestamp":1623675342000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["-Score-Based Secure Biomedical Model for Effective Skin Lesion Segmentation Over eHealth Cloud"],"prefix":"10.1145","volume":"17","author":[{"given":"Amitesh Singh","family":"Rajput","sequence":"first","affiliation":[{"name":"Birla Institute of Technology and Science (BITS) Pilani, Rajasthan, Pilani, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vishesh Kumar","family":"Tanwar","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Roorkee, Roorkee, India, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Balasubramanian","family":"Raman","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,14]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_1_1_1","DOI":"10.1109\/COMPSACW.2013.53"},{"doi-asserted-by":"publisher","key":"e_1_2_1_2_1","DOI":"10.1109\/TSUSC.2020.2968589"},{"doi-asserted-by":"publisher","key":"e_1_2_1_3_1","DOI":"10.1007\/s10916-018-1121-4"},{"doi-asserted-by":"publisher","key":"e_1_2_1_4_1","DOI":"10.3390\/e20050373"},{"doi-asserted-by":"publisher","key":"e_1_2_1_5_1","DOI":"10.1016\/j.compbiomed.2017.03.025"},{"doi-asserted-by":"publisher","key":"e_1_2_1_6_1","DOI":"10.1109\/TrustCom.2016.0140"},{"key":"e_1_2_1_7_1","volume-title":"Noel C. F. Marchetti, Michael Helba Brian, and Allan Halpern Mishra Nabin.","author":"Gutman David","year":"2016","unstructured":"David Gutman , Celebi Emre Codella , Noel C. F. Marchetti, Michael Helba Brian, and Allan Halpern Mishra Nabin. 2016 . Skin lesion analysis toward melanoma detection: A challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC). In [Online]. Available: https:\/\/arxiv.org\/abs\/1605.01397. David Gutman, Celebi Emre Codella, Noel C. F. Marchetti, Michael Helba Brian, and Allan Halpern Mishra Nabin. 2016. Skin lesion analysis toward melanoma detection: A challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC). In [Online]. Available: https:\/\/arxiv.org\/abs\/1605.01397."},{"doi-asserted-by":"publisher","key":"e_1_2_1_8_1","DOI":"10.1109\/TII.2017.2687618"},{"doi-asserted-by":"publisher","key":"e_1_2_1_9_1","DOI":"10.1109\/JBHI.2018.2839647"},{"doi-asserted-by":"publisher","key":"e_1_2_1_10_1","DOI":"10.1109\/ACCESS.2019.2916503"},{"key":"e_1_2_1_11_1","volume-title":"Amit Kumar Singh, and Yujie Li","author":"Jin Xin","year":"2020","unstructured":"Xin Jin , Hongyu Zhang , Xiaodong Li , Haoyang Yu , Beisheng Liu , Shujiang Xie , Amit Kumar Singh, and Yujie Li . 2020 . Confused modulo projection based somewhat homomorphic encryption-cryptosystem, library and applications on secure smart cities. IEEE Internet of Things Journal ( 2020). Xin Jin, Hongyu Zhang, Xiaodong Li, Haoyang Yu, Beisheng Liu, Shujiang Xie, Amit Kumar Singh, and Yujie Li. 2020. Confused modulo projection based somewhat homomorphic encryption-cryptosystem, library and applications on secure smart cities. IEEE Internet of Things Journal (2020)."},{"doi-asserted-by":"publisher","key":"e_1_2_1_12_1","DOI":"10.1016\/j.compbiomed.2017.02.002"},{"doi-asserted-by":"publisher","key":"e_1_2_1_13_1","DOI":"10.1016\/j.compbiomed.2015.10.011"},{"doi-asserted-by":"publisher","key":"e_1_2_1_14_1","DOI":"10.1007\/s11042-017-4966-5"},{"doi-asserted-by":"publisher","key":"e_1_2_1_15_1","DOI":"10.1145\/2656205"},{"doi-asserted-by":"publisher","key":"e_1_2_1_16_1","DOI":"10.1016\/j.eswa.2016.11.015"},{"key":"e_1_2_1_17_1","volume-title":"Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 5437\u20135440","author":"Mendon\u00e7a Teresa","year":"2013","unstructured":"Teresa Mendon\u00e7a , Pedro M. Ferreira , Jorge S. Marques , Andr\u00e9 R. S. Marcal , and Jorge Rozeira . 2013 . PH 2-A dermoscopic image database for research and benchmarking . In Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 5437\u20135440 . Teresa Mendon\u00e7a, Pedro M. Ferreira, Jorge S. Marques, Andr\u00e9 R. S. Marcal, and Jorge Rozeira. 2013. PH 2-A dermoscopic image database for research and benchmarking. In Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 5437\u20135440."},{"doi-asserted-by":"publisher","key":"e_1_2_1_18_1","DOI":"10.1109\/TIFS.2016.2585085"},{"key":"e_1_2_1_19_1","volume-title":"Proceedings of the Color and Imaging Conference. Society for Imaging Science and Technology, 108\u2013111","author":"Moroney Nathan","year":"2000","unstructured":"Nathan Moroney . 2000 . Local color correction using non-linear masking . In Proceedings of the Color and Imaging Conference. Society for Imaging Science and Technology, 108\u2013111 . Nathan Moroney. 2000. Local color correction using non-linear masking. In Proceedings of the Color and Imaging Conference. Society for Imaging Science and Technology, 108\u2013111."},{"key":"e_1_2_1_20_1","volume-title":"Jyoti Prakash Singh, and Amit Kumar Singh","author":"Nag Amitava","year":"2019","unstructured":"Amitava Nag , Jyoti Prakash Singh, and Amit Kumar Singh . 2019 . An efficient Boolean based multi-secret image sharing scheme. Multimedia Tools and Applications ( 2019), 1\u201325. Amitava Nag, Jyoti Prakash Singh, and Amit Kumar Singh. 2019. An efficient Boolean based multi-secret image sharing scheme. Multimedia Tools and Applications (2019), 1\u201325."},{"doi-asserted-by":"publisher","key":"e_1_2_1_21_1","DOI":"10.1016\/j.future.2016.10.022"},{"doi-asserted-by":"publisher","key":"e_1_2_1_22_1","DOI":"10.1109\/ACCESS.2018.2824798"},{"key":"e_1_2_1_23_1","volume-title":"Skin lesion segmentation with improved convolutional neural network. Journal of Digital Imaging","author":"\u00d6zt\u00fcrk \u015eaban","year":"2020","unstructured":"\u015eaban \u00d6zt\u00fcrk and Umut \u00d6zkaya . 2020. Skin lesion segmentation with improved convolutional neural network. Journal of Digital Imaging ( 2020 ). \u015eaban \u00d6zt\u00fcrk and Umut \u00d6zkaya. 2020. Skin lesion segmentation with improved convolutional neural network. Journal of Digital Imaging (2020)."},{"doi-asserted-by":"publisher","key":"e_1_2_1_24_1","DOI":"10.5555\/1756123.1756146"},{"doi-asserted-by":"publisher","key":"e_1_2_1_25_1","DOI":"10.1109\/JSYST.2020.3001316"},{"doi-asserted-by":"publisher","key":"e_1_2_1_26_1","DOI":"10.1007\/978-3-642-29852-3_9"},{"key":"e_1_2_1_27_1","volume-title":"Modelling and automatically analysing privacy properties for honest-but-curious adversaries","author":"Paverd A. J.","year":"2014","unstructured":"A. J. Paverd , Andrew Martin , and Ian Brown . 2014. Modelling and automatically analysing privacy properties for honest-but-curious adversaries . University of Oxford , Tech. Rep ( 2014 ). A. J. Paverd, Andrew Martin, and Ian Brown. 2014. Modelling and automatically analysing privacy properties for honest-but-curious adversaries. University of Oxford, Tech. Rep (2014)."},{"doi-asserted-by":"publisher","key":"e_1_2_1_28_1","DOI":"10.1016\/j.eswa.2016.11.018"},{"doi-asserted-by":"publisher","key":"e_1_2_1_29_1","DOI":"10.1007\/s11042-017-5580-2"},{"doi-asserted-by":"publisher","key":"e_1_2_1_30_1","DOI":"10.1016\/j.compbiomed.2016.09.003"},{"doi-asserted-by":"publisher","key":"e_1_2_1_31_1","DOI":"10.1145\/359168.359176"},{"doi-asserted-by":"publisher","key":"e_1_2_1_32_1","DOI":"10.1007\/s11042-016-3514-z"},{"doi-asserted-by":"publisher","key":"e_1_2_1_33_1","DOI":"10.1109\/TCSVT.2017.2716828"},{"volume-title":"Proc. Hack. 33","author":"Sreekumar A.","unstructured":"A. Sreekumar and S. B. Sundar . 2009. An efficient secret sharing scheme for n out of n scheme using pob-number system . In Proc. Hack. 33 . A. Sreekumar and S. B. Sundar. 2009. An efficient secret sharing scheme for n out of n scheme using pob-number system. In Proc. Hack. 33.","key":"e_1_2_1_34_1"},{"volume-title":"Proceedings of the 23rd Iranian Conference on Biomedical Engineering. 134\u2013139","author":"Tajeddin N. Z.","unstructured":"N. Z. Tajeddin and B. M. Asl . 2016. A general algorithm for automatic lesion segmentation in dermoscopy images . In Proceedings of the 23rd Iranian Conference on Biomedical Engineering. 134\u2013139 . N. Z. Tajeddin and B. M. Asl. 2016. A general algorithm for automatic lesion segmentation in dermoscopy images. In Proceedings of the 23rd Iranian Conference on Biomedical Engineering. 134\u2013139.","key":"e_1_2_1_35_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_36_1","DOI":"10.1016\/j.compbiomed.2018.11.010"},{"doi-asserted-by":"publisher","key":"e_1_2_1_37_1","DOI":"10.1109\/TII.2017.2695487"},{"doi-asserted-by":"publisher","key":"e_1_2_1_38_1","DOI":"10.1016\/j.future.2014.06.004"},{"doi-asserted-by":"publisher","key":"e_1_2_1_39_1","DOI":"10.1109\/TMI.2016.2642839"},{"doi-asserted-by":"publisher","key":"e_1_2_1_40_1","DOI":"10.1109\/TMI.2017.2695227"},{"key":"e_1_2_1_41_1","volume-title":"Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks","author":"Yuan Yading","year":"2017","unstructured":"Yading Yuan and Yeh-Chi Lo. 2017. Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks . IEEE Journal of Biomedical and Health Informatics ( 2017 ). Yading Yuan and Yeh-Chi Lo. 2017. Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks. IEEE Journal of Biomedical and Health Informatics (2017)."},{"doi-asserted-by":"publisher","key":"e_1_2_1_42_1","DOI":"10.1109\/JIOT.2020.2978286"},{"key":"e_1_2_1_43_1","article-title":"PPHOPCM: Privacy-preserving high-order possibilistic c-means algorithm for big data clustering with cloud computing","volume":"2017","author":"Zhang Qingchen","year":"2017","unstructured":"Qingchen Zhang , Laurence T. Yang , Zhikui Chen , and Peng Li . 2017 . PPHOPCM: Privacy-preserving high-order possibilistic c-means algorithm for big data clustering with cloud computing . IEEE Transactions on Big Data, doi=10.1109\/TBDATA. 2017 .2701816 (2017). Qingchen Zhang, Laurence T. Yang, Zhikui Chen, and Peng Li. 2017. PPHOPCM: Privacy-preserving high-order possibilistic c-means algorithm for big data clustering with cloud computing. IEEE Transactions on Big Data, doi=10.1109\/TBDATA.2017.2701816 (2017).","journal-title":"IEEE Transactions on Big Data, doi=10.1109\/TBDATA."},{"doi-asserted-by":"publisher","key":"e_1_2_1_44_1","DOI":"10.1109\/TPDS.2013.48"},{"doi-asserted-by":"publisher","key":"e_1_2_1_45_1","DOI":"10.1109\/TIFS.2016.2601065"}],"container-title":["ACM Transactions on Multimedia Computing, Communications, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3430806","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3430806","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:41Z","timestamp":1750195481000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3430806"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,14]]},"references-count":45,"journal-issue":{"issue":"2s","published-print":{"date-parts":[[2021,6,21]]}},"alternative-id":["10.1145\/3430806"],"URL":"https:\/\/doi.org\/10.1145\/3430806","relation":{},"ISSN":["1551-6857","1551-6865"],"issn-type":[{"type":"print","value":"1551-6857"},{"type":"electronic","value":"1551-6865"}],"subject":[],"published":{"date-parts":[[2021,6,14]]},"assertion":[{"value":"2020-06-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-10-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}