001454258 000__ 03906cam\a22006017i\4500
001454258 001__ 1454258
001454258 003__ OCoLC
001454258 005__ 20230314003509.0
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001454258 007__ cr\cn\nnnunnun
001454258 008__ 230131s2023\\\\si\a\\\\o\\\\\000\0\eng\d
001454258 019__ $$a1364317337
001454258 020__ $$a9789811989377$$q(electronic bk.)
001454258 020__ $$a9811989370$$q(electronic bk.)
001454258 020__ $$z9789811989360
001454258 020__ $$z9811989362
001454258 0247_ $$a10.1007/978-981-19-8937-7$$2doi
001454258 035__ $$aSP(OCoLC)1367236436
001454258 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP
001454258 049__ $$aISEA
001454258 050_4 $$aRC270
001454258 08204 $$a616.9940750285631$$223/eng/20230131
001454258 1001_ $$aArzmi, Mohd Hafiz,$$eauthor.
001454258 24510 $$aDeep learning in cancer diagnostics :$$ba feature-based transfer learning evaluation /$$cMohd Hafiz Arzmi [and six others].
001454258 264_1 $$aSingapore :$$bSpringer,$$c2023.
001454258 300__ $$a1 online resource (44 pages) :$$billustrations (black and white, and colour).
001454258 336__ $$atext$$btxt$$2rdacontent
001454258 337__ $$acomputer$$bc$$2rdamedia
001454258 338__ $$aonline resource$$bcr$$2rdacarrier
001454258 4901_ $$aSpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics
001454258 5050_ $$a1. Epidemiology, detection and management of cancer -- 2. A VGG16 feature-based Transfer Learning Evaluation for the diagnosis of Oral Squamous Cell Carcinoma (OSCC) -- 3. The Classification of Breast Cancer: The effect of hyperparameter optimisation towards the efficacy of feature-based transfer learning pipeline -- 4. The Classification of Lung Cancer: A DenseNet feature-based Transfer Learning Evaluation -- 5. Skin Cancer Diagnostics: A VGG Ensemble Approach -- 6. The Way Forward.
001454258 506__ $$aAccess limited to authorized users.
001454258 520__ $$aCancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer.
001454258 588__ $$aDescription based on print version record.
001454258 650_0 $$aCancer$$xDiagnosis$$xData processing.
001454258 650_0 $$aCancer$$xDiagnosis$$xTechnological innovations.
001454258 650_0 $$aDeep learning (Machine learning)$$xTherapeutic use.
001454258 650_0 $$aArtificial intelligence$$xMedical applications.
001454258 655_0 $$aElectronic books.
001454258 7001_ $$aMajeed, Anwar P. P. Abdul,$$eauthor.
001454258 7001_ $$aMuazu Musa, Rabiu,$$eauthor.
001454258 7001_ $$aMohd Razman, Mohd Azraai,$$eauthor.
001454258 7001_ $$aGan, Hong-Seng,$$eauthor.
001454258 7001_ $$aMohd Khairuddin, Ismail,$$eauthor.
001454258 7001_ $$aNasir, Ahmad Fakhri Ab.,$$eauthor.
001454258 77608 $$iPrint version:$$aArzmi, Mohd Hafiz.$$tDeep learning in cancer diagnostics.$$dSingapore : Springer Nature Singapore, 2023$$z9789811989360$$w(OCoLC)1359609072
001454258 830_0 $$aSpringerBriefs in applied sciences and technology.$$pForensic and medical bioinformatics.
001454258 852__ $$bebk
001454258 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8937-7$$zOnline Access$$91397441.1
001454258 909CO $$ooai:library.usi.edu:1454258$$pGLOBAL_SET
001454258 980__ $$aBIB
001454258 980__ $$aEBOOK
001454258 982__ $$aEbook
001454258 983__ $$aOnline
001454258 994__ $$a92$$bISE