LEADER 04003nam 22005413 450 001 9911007185403321 005 20231223060236.0 010 $a1-83724-416-2 010 $a1-5231-6311-9 010 $a1-83953-744-2 035 $a(MiAaPQ)EBC30663174 035 $a(Au-PeEL)EBL30663174 035 $a(CKB)29440413000041 035 $a(Exl-AI)30663174 035 $a(OCoLC)1415898632 035 $a(EXLCZ)9929440413000041 100 $a20231223d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Imaging Informatics $eMachine Learning, Deep Learning and Big Data Analytics 205 $a1st ed. 210 1$aStevenage :$cInstitution of Engineering & Technology,$d2023. 210 4$dİ2024. 215 $a1 online resource (383 pages) 225 1 $aHealthcare Technologies Series 311 08$a1-83953-743-4 327 $aContents -- About the editors -- Section 1: Medical image analysis using artificial intelligence -- 1. Intervention of medical images for disease prediction | Neha Singh, Shilpi Birla and Neeraj Kumar Shukla -- 2. Breast cancer detection in pathological imaging using deep learning methods | Bharati Ainapure and Reshma Pise -- 3. Detection of autism spectrum disorder using artificial intelligence | Kaushal Oza, Shree Udavant and Mamoon Rashid -- 4. Lossless medical image compression and noise removal using deep learning models | N. Karthikeyan, N. Pooranam, D. Surendran and M. Sivakumar -- 5. Prediction of diabetes using voting classification algorithms | Sunil Gupta, Neha Sharma, Gagandeep Kaur and Anita Sardana -- 6. Use of deep learning approaches for the prediction of diseases from medical images | Amrita Thakur, Kushagra Nagori, Ayushman Rao and Neeta Rai -- 7. Deep learning approach for the prediction of diseases in medical images | Sabeena Hussain and Sonali Powar -- 8. Detection of food allergy using deep learning | Abdul Majid Soomro, Sanjoy Kumar Debnath, Awad Bin Naeem, Susama Bagchi, Neha Sharma, Kamal Saluja and Sunil Gupta -- Section 2: Use of AI-enabled IoT in healthcare -- 9. Design and development of Internet of Things and artificial intelligence-based medical imaging system | Rupali A. Mahajan, Smita Chavan, Prajakta Ajay Khadkikar, Gayatri Mahendra Bhandari and Jyoti Manish Shinde -- 10. Internet of Things and medical imaging AI systems | Rajakumar Arul, Kalaipriyan Thirugnanasambandam and M. Kiruthigga -- 11. Role of artificial intelligence in medical IoT devices | Ankita Wadhawan, Nagnath Aherwadi and Usha Mittal -- Section 3: Applications of artificial intelligence in healthcare -- 12. Internet automation indulgence of virtual reality in psychiatric health disorder | Shweta Pandey, Samta Kathuria, Rajesh Singh and Anita Gehlot -- 13. Role of big data analytics in healthcare systems | Prathamesh Suhas Uravane, Vedant Vinay Ganthade, Adityaraj Sanjay Belhe, Abhiraj Sandeep Gadade and Mamoon Rashid -- Index$7Generated by AI. 330 $aMedical Imaging Informatics is an edited book that discusses how medical images can be processed using machine learning techniques and big data analysis methods. These tools help physicians to gain a full overview of a patient's data, which in turn assists with diagnosis, prognosis or intervention. 410 0$aHealthcare Technologies Series 606 $aMachine learning$7Generated by AI 606 $aDeep learning (Machine learning)$7Generated by AI 615 0$aMachine learning 615 0$aDeep learning (Machine learning) 676 $a616.07540285 700 $aRashid$b Mamoon$01825247 701 $aGoyal$b Vishal$01384029 701 $aBashir$b Ali Kashif$01762152 701 $aHakak$b Saqib$01825248 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007185403321 996 $aMedical Imaging Informatics$94392780 997 $aUNINA