{"product_id":"medical-image-recognition-segmentation-and-parsing-machine-learning-and-multiple-object-approaches-the-miccai-society-book-series","title":"Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches (The MICCAI Society book Series)","description":"\u003csection class=\"book-about\"\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eMedical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches (The MICCAI Society book Series) reads as a imaging or diagnostic reference. It should be judged by usefulness and fit rather than promotional language.\u003c\/p\u003e\n\u003cp\u003eThe strongest signal is applied reading: examples, cases, images, tracings, or clinical details that make the subject easier to work through in context.\u003c\/p\u003e\u003c\/section\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003ePractical Use\u003c\/h2\u003e\n\u003cp\u003eFor imaging and diagnostic readers, the useful test is whether the book helps connect findings, terminology, and clinical context without slowing the reader down.\u003c\/p\u003e\u003c\/section\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eSubject Focus\u003c\/h2\u003e\n\u003cul\u003e\u003cli\u003eImages, tracings, or visual examples appear to be part of how the material is taught.\u003c\/li\u003e\u003c\/ul\u003e\u003c\/section\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eLikely Readers\u003c\/h2\u003e\n\u003cp\u003eThe natural reader is radiology trainees, imaging clinicians, sonographers, and diagnostic readers. A casual browser may miss the point; this is more useful when the buyer already has a course, rotation, certification, or clinical problem in mind.\u003c\/p\u003e\u003c\/section\u003e\u003csection class=\"book-editorial-section\"\u003e\u003ch2\u003eEditorial Notes\u003c\/h2\u003e\n\u003cp\u003eVisual material matters here. Images, tracings, or illustrated examples can make the book more useful for pattern recognition and diagnostic comparison.\u003c\/p\u003e\u003c\/section\u003e\u003c\/section\u003e\u003csection class=\"book-details\"\u003e\u003ch2\u003eBook Details\u003c\/h2\u003e\n\u003ctable class=\"book-details-table\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eAuthor\u003c\/th\u003e\n\u003ctd\u003eS. Kevin Zhou\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePublisher\u003c\/th\u003e\n\u003ctd\u003eAcademic Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePublication Date\u003c\/th\u003e\n\u003ctd\u003eDecember 11, 2015\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eLanguage\u003c\/th\u003e\n\u003ctd\u003eEnglish\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePrint Length\u003c\/th\u003e\n\u003ctd\u003e514 pages\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eISBN-13\u003c\/th\u003e\n\u003ctd\u003e978-0128026762\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eFormat\u003c\/th\u003e\n\u003ctd\u003eHardcover\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/section\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":49654425059587,"sku":"9780128026762","price":58.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0823\/3884\/0835\/files\/61uYSnUU1JL.jpg?v=1789805909","url":"https:\/\/medlitx.com\/products\/medical-image-recognition-segmentation-and-parsing-machine-learning-and-multiple-object-approaches-the-miccai-society-book-series","provider":"MedLitx","version":"1.0","type":"link"}