Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Colonoscopy contrast-enhanced by intuitionistic fuzzy soft sets for polyp cancer localization Subject The topic of the resource Colonoscopy image; Fuzzy entropy; Fuzzy set; Fuzzy soft set; Intuitionistic fuzzy set; Polyp cancer; Visual enhancement Description An account of the resource Medical images often suffer from low contrast, irregular gray-level spacing and contain a lot of uncertainties due to constraints of imaging devices and environment (various lighting conditions) when capturing images. In order to achieve any clinical-diagnosis method for medical imaging with better comprehensibility, image contrast enhancement algorithms would be appropriate to improve the visual quality of medical images. In this paper, an automated image enhancement method is presented for colonoscopy images based on the intuitionistic fuzzy soft set. The fuzzy soft set is used to model the intuitionistic fuzzy soft image matrix based on a set of soft features of the colonoscopy images. The technique decomposes the fuzzy image into multiple blocks and estimates a soft-score based on an adaptive soft parametric hesitancy map by using the hesitant entropy for each block to quantify the uncertainties. In the processing stage, an adaptive intensity modification process is done for each block according to its soft-score. These scores are accurately addressed the gray-level ambiguities in colonoscopy images that lead to better results. Finally, the enhanced image achieved by performing a defuzzification together with all unprocessed blocks. Qualitative and quantitative assessments demonstrate that the proposed method improves image contrast and region-of-interest of polyps in colonogram. Experimental results on enhancing a large CVC-Clinic-DB and ASU-Mayo clinic colonoscopy benchmark datasets show that the proposed method outperforms the state-of-the-art medical image enhancement methods. 2020 Elsevier B.V. Creator An entity primarily responsible for making the resource Biswas B.; Bhattacharyya S.; Chakrabarti A.; Dey K.N.; Platos J.; Snasel V. Source A related resource from which the described resource is derived Applied Soft Computing Journal, Vol-95 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.asoc.2020.106492" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.asoc.2020.106492</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086996601&amp;doi=10.1016%2Fj.asoc.2020.106492&amp;partnerID=40&amp;md5=0bcc131fe06b5a13d6fea8652ddd76fe" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086996601&amp;doi=10.1016%2fj.asoc.2020.106492&amp;partnerID=40&amp;md5=0bcc131fe06b5a13d6fea8652ddd76fe</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15684946 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biswas B., Computer Science and Engineering, University of Calcutta, Kolkata, WB, India; Bhattacharyya S., Computer Science and Engineering, Christ University, Bangalore, India; Chakrabarti A., A.K.C.S.I.T., University of Calcutta, Kolkata, WB, India; Dey K.N., Computer Science and Engineering, University of Calcutta, Kolkata, WB, India; Platos J., Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic; Snasel V., Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic