Atnaujinkite slapukų nuostatas

El. knyga: Revolutionising Medical Imaging with Computer Vision and Artificial Intelligence

Edited by , Edited by , Edited by
  • Formatas: 261 pages
  • Išleidimo metai: 24-Sep-2024
  • Leidėjas: Cambridge Scholars Publishing
  • ISBN-13: 9781036410629
  • Formatas: 261 pages
  • Išleidimo metai: 24-Sep-2024
  • Leidėjas: Cambridge Scholars Publishing
  • ISBN-13: 9781036410629

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.
Seema Bhatnagar completed her PhD degree from Central Drug Research Institute, Council of Scientific & Industrial research (CDRI-CSIR), India. Currently, she is Professor and Assistant Director at Amity Institute of Biotechnology (AIB), and Amity Institute of Organic Agriculture (AUUP), Noida, India. There are several publications, patents, and commercialized patents to her credit. Her research is funded by funding agencies in India and abroad.Priyanka Narad is working as Scientist in Indian Council of Medical Research (ICMR) and has more than 15 years of experience in Bioinformatics with more than 50 publications.Rajashree Das is currently employed as an Associate Professor at AIB, AUUP. Her area of research is Helicobacter pylori causing gastroduodenal diseases. She has published research articles in reputed journals and completed government funded projects as principal investigator. Debarati Paul, currently Associate Professor in AIB, AUUP completed her PhD from the IMTECH-CSIR (Institute of Microbial Technology), India, and pursued further research in the Swiss Federal Institute of Aquatic Science and Technology (EAWAG), and at Mississippi State University (USA). She has rich expertise in environmental biotechnology with 70 publications and funded projects.