{"product_id":"disruptive-trends-in-computer-aided-diagnosis","title":"Disruptive Trends in Computer Aided Diagnosis","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cp\u003eThis book is an attempt to collate novel techniques and methodologies in the domain of content- based image classification and deep learning\/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions.\u003c\/p\u003e \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eDisruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning\/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions in the domain of computer aided diagnosis to leverage balancing of sustainable ecology. \u003c\/p\u003e\u003cp\u003eThe volume focuses on designing efficient algorithms for proposing CAD systems to mitigate the challenges of critical illnesses at an early stage. State-of-the-art novel methods are explored for envisaging automated diagnosis systems thereby overriding the limitations due to lack of training data, sample annotation, region of interest identification, proper segmentation and so on. The assorted techniques addresses the challenges encountered in existing systems thereby facilitating accurate patient healthcare and diagnosis. \u003c\/p\u003e\u003cp\u003eFeatures:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eAn integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eElucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eMachine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eInformation presented in an accessible way for students, researchers and medical practitioners.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe volume would come to the benefit of both post-graduate students and aspiring researchers in the field of medical informatics, computer science and electronics and communication engineering. In addition, the volume is also intended to serve as a guiding factor for the medical practitioners and radiologists in accurate diagnosis of diseases.\u003c\/p\u003e\u003cp\u003e\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 478g\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 158 x 340 x 19 (mm)\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367493370\n                            \n                          \u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44104088551674,"sku":"9780367493370","price":123.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/57e518adf5fc25a1173326bb10db2c3e.jpg?v=1633660147","url":"https:\/\/shulphink.com\/products\/disruptive-trends-in-computer-aided-diagnosis","provider":"Shulph Ink","version":"1.0","type":"link"}