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035   $a(MiAaPQ)EBC5855476
035   $a(OCoLC)1112671976
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100   $a20190821d2020      uy         0
101 0 $aeng
135   $aurcnu---unuuu
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aMedical imaging $eartificial intelligence, image recognition, and machine learning techniques /$f[edited by] KC Santosh, Sameer Antani, DS Guru, Nilanjan Dey
205   $a1st edition
210  1$aBoca Raton :$cTaylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc,$d2020.
215   $a1 online resource (250 pages)
311   $a0-367-13961-8 
320   $aIncludes bibliographical references and index.
330   $aThe book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.
606   $aDiagnostic imaging
615  0$aDiagnostic imaging.
676   $a616.0754
702   $aSantosh$b K. C.
801  0$bOCoLC-P
801  1$bOCoLC-P
906   $aBOOK
912   $a9910813944803321
996   $aMedical Imaging$91910021
997   $aUNINA