{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:26Z","timestamp":1750220366228,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,12,5]],"date-time":"2020-12-05T00:00:00Z","timestamp":1607126400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the Fundamental Research Funds for the Central Universities (No. N2016001)","award":["No. N2016001"],"award-info":[{"award-number":["No. N2016001"]}]},{"name":"the National Natural Science Foundation of China (No.62076059)","award":["No.62076059"],"award-info":[{"award-number":["No.62076059"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,12,5]]},"DOI":"10.1145\/3451421.3451459","type":"proceedings-article","created":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T14:38:41Z","timestamp":1630075121000},"page":"177-181","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AMIL:An attentional multi-instance learning for computer-aided diagnosis of skin diagnosis"],"prefix":"10.1145","author":[{"given":"Mengqun","family":"Jin","sequence":"first","affiliation":[{"name":"Northeastern University, China"}]},{"given":"Delong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Northeastern University, China"}]},{"given":"Peng","family":"Cao","sequence":"additional","affiliation":[{"name":"Northeastern University, China"}]}],"member":"320","published-online":{"date-parts":[[2021,8,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Journal of Dermatology.","author":"Dm","year":"2011","unstructured":"Dm , Roderick James Hay , and L. C. F. Bm . The assessment of dermatological needs in resource-poor regions . International Journal of Dermatology. 2011 . Dm, Roderick James Hay , and L. C. F. Bm . The assessment of dermatological needs in resource-poor regions. International Journal of Dermatology. 2011."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/bjd.13854"},{"key":"e_1_3_2_1_3_1","first-page":"541","article-title":"Backpropagation Applied to Handwritten Zip Code Recognition","volume":"4","author":"Lecun Y","year":"2014","unstructured":"Lecun , Y , \" Backpropagation Applied to Handwritten Zip Code Recognition .\" Neural Computation 1 . 4 ( 2014 ): 541 - 551 . Lecun, Y , \"Backpropagation Applied to Handwritten Zip Code Recognition.\" Neural Computation 1.4(2014):541-551.","journal-title":"Neural Computation 1"},{"key":"e_1_3_2_1_4_1","volume-title":"H. Tao , and M. A. Talab . \"Review of deep convolution neural network in image classification.\" 2017 International Conference on Radar, Antenna, Microwave, Electronics, and","author":"Al-Saffar","year":"2017","unstructured":"Al-Saffar , Ahmed Ali Mohammed , H. Tao , and M. A. Talab . \"Review of deep convolution neural network in image classification.\" 2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) IEEE , 2017 . Al-Saffar, Ahmed Ali Mohammed , H. Tao , and M. A. Talab . \"Review of deep convolution neural network in image classification.\" 2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) IEEE, 2017."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2020.574329"},{"key":"e_1_3_2_1_6_1","first-page":"947","article-title":"Atrophic dermatofibroma and dermatofibrosarcoma protuberans","volume":"6","author":"Page Elizabeth Heller","year":"1988","unstructured":"Page , Elizabeth Heller , and D. M. Assaad . \" Atrophic dermatofibroma and dermatofibrosarcoma protuberans .\" Journal of the American Academy of Dermatology 17 . 6 ( 1988 ): 947 - 950 . Page, Elizabeth Heller , and D. M. Assaad . \"Atrophic dermatofibroma and dermatofibrosarcoma protuberans.\" Journal of the American Academy of Dermatology 17.6(1988):947-950.","journal-title":"Journal of the American Academy of Dermatology 17"},{"key":"e_1_3_2_1_7_1","volume-title":"A Challenge at the International Symposium on Biomedical Imaging (ISBI)","author":"Gutman David","year":"2016","unstructured":"Gutman , David , \" 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) .\" (2016). Gutman, David , \"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).\" (2016)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Sun Miao \"Multiple Instance Learning Convolutional Neural Networks for Object Recognition.\" (2017).  Sun Miao \"Multiple Instance Learning Convolutional Neural Networks for Object Recognition.\" (2017).","DOI":"10.1109\/ICPR.2016.7900139"},{"key":"e_1_3_2_1_9_1","first-page":"570","article-title":"A Framework for Multiple-Instance Learning","volume":"2","author":"Maron Oded","year":"1998","unstructured":"Maron , Oded , and Tom\u00e1s LozanoP\u00e9rez . \" A Framework for Multiple-Instance Learning .\" Advances in Neural Information Processing Systems 200 . 2 ( 1998 ): 570 \u2013 576 . Maron, Oded , and Tom\u00e1s LozanoP\u00e9rez. \"A Framework for Multiple-Instance Learning.\" Advances in Neural Information Processing Systems 200.2(1998):570\u2013576.","journal-title":"Advances in Neural Information Processing Systems 200"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Carbonneau Marc Andr \"Multiple instance learning: A survey of problem characteristics and applications.\" Pattern Recognition (2018): 329-353.  Carbonneau Marc Andr \"Multiple instance learning: A survey of problem characteristics and applications.\" Pattern Recognition (2018):329-353.","DOI":"10.1016\/j.patcog.2017.10.009"},{"key":"e_1_3_2_1_11_1","unstructured":"Y LeCun. \"LeNet-5 convolutional neural networks.\".  Y LeCun. \"LeNet-5 convolutional neural networks.\"."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112961"},{"key":"e_1_3_2_1_13_1","unstructured":"Vaswani Ashish \"Attention is all you need.\" Advances in neural information processing systems. 2017.  Vaswani Ashish \"Attention is all you need.\" Advances in neural information processing systems. 2017."},{"key":"e_1_3_2_1_14_1","volume-title":"Visual attention","author":"Chun Marvin M.","year":"2001","unstructured":"Chun , Marvin M. , and J. M. Wolfe . Visual attention . Blackwell Handbook of Sensation and Perception. John Wiley & Sons, Ltd , 2001 . Chun, Marvin M. , and J. M. Wolfe . Visual attention. Blackwell Handbook of Sensation and Perception. John Wiley & Sons, Ltd, 2001."},{"key":"e_1_3_2_1_15_1","unstructured":"Dauphin Yann N \"Language Modeling with Gated Convolutional Networks.\" (2016).  Dauphin Yann N \"Language Modeling with Gated Convolutional Networks.\" (2016)."},{"key":"e_1_3_2_1_16_1","volume-title":"IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020)","author":"Ruoxian Song Peng Cao","year":"2020","unstructured":"Ruoxian Song , Peng Cao , Jinzhu Yang , Dazhe Zhao , Osmar R . Zaiane , A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images , IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020) , December 16-19, 2020 Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaiane, A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020), December 16-19, 2020"}],"event":{"name":"ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine","acronym":"ISICDM 2020","location":"Shenyang China"},"container-title":["The Fourth International Symposium on Image Computing and Digital Medicine"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3451421.3451459","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3451421.3451459","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:31Z","timestamp":1750191451000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3451421.3451459"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,5]]},"references-count":16,"alternative-id":["10.1145\/3451421.3451459","10.1145\/3451421"],"URL":"https:\/\/doi.org\/10.1145\/3451421.3451459","relation":{},"subject":[],"published":{"date-parts":[[2020,12,5]]},"assertion":[{"value":"2021-08-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}