{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T16:36:16Z","timestamp":1771518976881,"version":"3.50.1"},"reference-count":156,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,10,8]],"date-time":"2020-10-08T00:00:00Z","timestamp":1602115200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>With the exponential increase in new cases coupled with an increased mortality rate, cancer has ranked as the second most prevalent cause of death in the world. Early detection is paramount for suitable diagnosis and effective treatment of different kinds of cancers, but this is limited to the accuracy and sensitivity of available diagnostic imaging methods. Breast cancer is the most widely diagnosed cancer among women across the globe with a high percentage of total cancer deaths requiring an intensive, accurate, and sensitive imaging approach. Indeed, it is treatable when detected at an early stage. Hence, the use of state of the art computational approaches has been proposed as a potential alternative approach for the design and development of novel diagnostic imaging methods for breast cancer. Thus, this review provides a concise overview of past and present conventional diagnostics approaches in breast cancer detection. Further, we gave an account of several computational models (machine learning, deep learning, and robotics), which have been developed and can serve as alternative techniques for breast cancer diagnostics imaging. This review will be helpful to academia, medical practitioners, and others for further study in this area to improve the biomedical breast cancer imaging diagnosis.<\/jats:p>","DOI":"10.3390\/jimaging6100105","type":"journal-article","created":{"date-parts":[[2020,10,8]],"date-time":"2020-10-08T08:52:41Z","timestamp":1602147161000},"page":"105","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Applications of Computational Methods in Biomedical Breast Cancer Imaging Diagnostics: A Review"],"prefix":"10.3390","volume":"6","author":[{"given":"Kehinde","family":"Aruleba","sequence":"first","affiliation":[{"name":"School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg 2001, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Obaido","sequence":"additional","affiliation":[{"name":"School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg 2001, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Blessing","family":"Ogbuokiri","sequence":"additional","affiliation":[{"name":"School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg 2001, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3952-2098","authenticated-orcid":false,"given":"Adewale Oluwaseun","family":"Fadaka","sequence":"additional","affiliation":[{"name":"Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Private Bag X17, Bellville, Cape Town 7535, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5606-886X","authenticated-orcid":false,"given":"Ashwil","family":"Klein","sequence":"additional","affiliation":[{"name":"Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Private Bag X17, Bellville, Cape Town 7535, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3382-9080","authenticated-orcid":false,"given":"Tayo Alex","family":"Adekiya","sequence":"additional","affiliation":[{"name":"Department of Pharmacy and Pharmacology, School of Therapeutic Science, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 7 York Road, Parktown 2193, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0879-344X","authenticated-orcid":false,"given":"Raphael Taiwo","family":"Aruleba","sequence":"additional","affiliation":[{"name":"Department of Molecular and Cell Biology, Faculty of Science, University of Cape Town, Cape Town 7701, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,10,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Adekiya, T.A., Aruleba, R.T., Khanyile, S., Masamba, P., Oyinloye, B.E., and Kappo, A.P. 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