LEADER 03618nam 22007455 450 001 9910483238803321 005 20251113191050.0 010 $a981-15-6321-7 024 7 $a10.1007/978-981-15-6321-8 035 $a(CKB)4100000011446390 035 $a(MiAaPQ)EBC6348888 035 $a(DE-He213)978-981-15-6321-8 035 $a(PPN)258059036 035 $a(EXLCZ)994100000011446390 100 $a20200912d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning for Cancer Diagnosis /$fedited by Utku Kose, Jafar Alzubi 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (XIX, 300 p. 118 illus., 87 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v908 311 08$a981-15-6320-9 327 $aDeep Learning for Enhancing Cancer Diagnosis -- Improved Deep Learning Techniques for Better Cancer Diagnosis -- Deep Learning for Diagnosing Rare Cancer Types -- Deep Learning for Histopathological Diagnosis -- Effective Use of Deep Learning and Image Processing for Cancer Diagnosis. 330 $aThis book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v908 606 $aComputational intelligence 606 $aMachine learning 606 $aCancer 606 $aMedical informatics 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aSignal processing 606 $aComputational Intelligence 606 $aMachine Learning 606 $aCancer Biology 606 $aHealth Informatics 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aSignal, Speech and Image Processing 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aCancer. 615 0$aMedical informatics. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aSignal processing. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 24$aCancer Biology. 615 24$aHealth Informatics. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aSignal, Speech and Image Processing. 676 $a006.31 702 $aAlzubi$b Jafar 702 $aKose$b Utku 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483238803321 996 $aDeep learning for cancer diagnosis$92846288 997 $aUNINA