{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T04:14:46Z","timestamp":1761711286786,"version":"build-2065373602"},"reference-count":21,"publisher":"Institution of Engineering and Technology (IET)","issue":"9","license":[{"start":{"date-parts":[[2015,9,1]],"date-time":"2015-09-01T00:00:00Z","timestamp":1441065600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61401263"],"award-info":[{"award-number":["61401263"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IET Image Processing"],"published-print":{"date-parts":[[2015,9]]},"abstract":"<jats:p>With the development of high\u2010speed, high\u2010resolution whole slide histology digital scanners, glass slides of tissue specimen can now be digitised at high magnification to create the whole slide image. Quantitative image analysis tools are then desirable to help the pathologist for their routine examination. Epidermis area is a very important observation area for the cancer diagnosis. Therefore, in order to build up a computer\u2010aided diagnosis system, segmentation of the epidermis area is often the very first and crucial step. An improved computer\u2010aided epidermis segmentation technique for the whole slide skin histopathological image is proposed in this study. The proposed technique first obtains an initial segmentation result with the help of global thresholding and shape analysis. A template matching method, with adaptive template intensity value, is then applied. Finally, a threshold is calculated based on the probability density function of the response value image. Experimental results show that the proposed technique overcomes the limitation of the existing technique and provides superior performance, with sensitivity of 95.68%, specificity of 99.41% and precision of 93.13%. The performance of the proposed technique is satisfactory for future clinical use.<\/jats:p>","DOI":"10.1049\/iet-ipr.2014.0192","type":"journal-article","created":{"date-parts":[[2015,6,3]],"date-time":"2015-06-03T06:04:27Z","timestamp":1433311467000},"page":"735-742","source":"Crossref","is-referenced-by-count":7,"title":["Automated segmentation of the epidermis area in skin whole slide histopathological images"],"prefix":"10.1049","volume":"9","author":[{"given":"Cheng","family":"Lu","sequence":"first","affiliation":[{"name":"College of Computer Science, Shaanxi Normal University Xi'an 710119 Shaanxi Province People's Republic of China"}]},{"given":"Zhen","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Food Engineering and Nutritional Science, Shaanxi Normal University Xi'an 710119 Shaanxi Province People's Republic of China"}]},{"given":"Mrinal","family":"Mandal","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering University of Alberta Edmontonn Alberta Canada T6G 2V4"}]}],"member":"265","published-online":{"date-parts":[[2015,9]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.298.6675.707"},{"key":"e_1_2_6_3_1","doi-asserted-by":"crossref","unstructured":"McCarthyS.W. andScolyerR.A.:\u2018Melanocytic lesions of the face: diagnostic pitfalls Ann. 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