LEADER 03556nam 22006975 450 001 9910743357903321 005 20251113193725.0 010 $a981-16-7770-0 010 $a981-16-7771-9 010 $a981-16-7771-9 024 7 $a10.1007/978-981-16-7771-7 035 $a(MiAaPQ)EBC6876152 035 $a(Au-PeEL)EBL6876152 035 $a(CKB)21022428400041 035 $a(PPN)262175479 035 $a(OCoLC)1294345281 035 $a(DE-He213)978-981-16-7771-7 035 $a(EXLCZ)9921022428400041 100 $a20220129d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Vision in Healthcare /$fedited by Mukesh Saraswat, Harish Sharma, Karm Veer Arya 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (161 pages) 225 1 $aStudies in Autonomic, Data-driven and Industrial Computing,$x2730-6445 311 08$aPrint version: Saraswat, Mukesh Intelligent Vision in Healthcare Singapore : Springer Singapore Pte. Limited,c2022 9789811677700 320 $aIncludes bibliographical references. 327 $aIntelligent Vision in Healthcare -- Diagnosis of Covid-19 in X-ray and CT Images Using Online Clustering Framework -- Unsupervised Deep Learning Approach for the Identi?cation of Intracranial haemorrhage in CT images using PCA-Net and K-Means algorithm -- Automatic segmentation of optic cup and optic disc using MultiResUnet for Glaucoma classification from fundus image -- A Framework to Classify the Calci?cation Region from USG Images of Thyroid Nodules -- Predicting Heart Disease with Multiple Classifiers. 330 $aThis book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise. 410 0$aStudies in Autonomic, Data-driven and Industrial Computing,$x2730-6445 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aSignal processing 606 $aMedical informatics 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aSignal, Speech and Image Processing 606 $aHealth Informatics 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aSignal processing. 615 0$aMedical informatics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aSignal, Speech and Image Processing. 615 24$aHealth Informatics. 676 $a610.285 702 $aSaraswat$b Mukesh 702 $aSharma$b Harish 702 $aArya$b Karm Veer 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743357903321 996 $aIntelligent vision in healthcare$93560428 997 $aUNINA