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 #  AuthorTitleAccn#YearItem Type Claims
1 Gogoi, Ankur Biomedical Imaging I13162 2024 eBook  
2 Awojoyogbe, Bamidele O Digital Molecular Magnetic Resonance Imaging I13129 2024 eBook  
3 Khurana, Divya Recent Trends in Cancer Therapeutics I13035 2024 eBook  
4 Hu, Zhengbing Mueller-Matrix Tomography of Biological Tissues and Fluids I12953 2024 eBook  
5 Malviya, Rishabha Engineered Biomaterials I12909 2023 eBook  
6 Malviya, Rishabha Targeted Cancer Therapy in Biomedical Engineering I12869 2023 eBook  
7 Savari, Mohammad-Nabil Theranostic Iron-Oxide Based Nanoplatforms in Oncology I12864 2023 eBook  
8 Arzmi, Mohd Hafiz Deep Learning in Cancer Diagnostics I12588 2023 eBook  
9 Scientific American Cancer biology 009041 1986 Book  
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TitleBiomedical Imaging : Advances in Artificial Intelligence and Machine Learning
Author(s)Gogoi, Ankur;Mazumder, Nirmal
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2024.
DescriptionXX, 347 p. 104 illus., 85 illus. in color : online resource
Abstract NoteThis book presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases. While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan???making it increasingly difficult for experts to analyze and interpret. In this context, the application of artificial intelligence (AI) and machine learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and complicated datasets and providing clear insight into the potential abnormalities with excellent accuracy, sensitivity, and specificity. The hallmark of this book will be the contributions from international leaders on different AI-aided advanced biomedical imaging modalities and techniques. Included will be comprehensive description of several of the technology-driven spectacular advances made over the past few years that have allowed early detection and delineation of abnormalities with sub-pixel image segmentation and classification. Starting from the fundamentals of biomedical image processing, the book presents a streamlined and focused coverage of the core principles, theoretical and experimental approaches, and state-of-the-art applications of most of the currently used biomedical imaging techniques powered by AI
ISBN,Price9789819753451
Keyword(s)1. Bioanalysis and Bioimaging 2. Biomedical engineering 3. Biomedical Engineering and Bioengineering 4. BIOPHYSICS 5. CANCER 6. Cancer Imaging 7. EBOOK 8. EBOOK - SPRINGER 9. OPTICAL SPECTROSCOPY
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TitleDigital Molecular Magnetic Resonance Imaging
Author(s)Awojoyogbe, Bamidele O;Dada, Michael O
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2024.
DescriptionXXV, 348 p. 171 illus., 134 illus. in color : online resource
Abstract NoteThis book pushes the limits of conventional MRI visualization methods by completely changing the medical imaging landscape and leads to innovations that will help patients and healthcare providers alike. It enhances the capabilities of MRI anatomical visualization to a level that has never before been possible for researchers and clinicians. The computational and digital algorithms developed can enable a more thorough understanding of the intricate structures found within the human body, surpassing the constraints of traditional 2D methods. The Physics-informed Neural Networks as presented can enhance three-dimensional rendering for deeper understanding of the spatial relationships and subtle abnormalities of anatomical features and sets the stage for upcoming advancements that could impact a wider range of digital heath modalities. This book opens the door to ultra-powerful digital molecular MRI powered by quantum computing that can perform calculations that would take supercomputers millions of years
ISBN,Price9789819763702
Keyword(s)1. Bioanalysis and Bioimaging 2. Biomedical engineering 3. Biomedical Engineering and Bioengineering 4. BIOPHYSICS 5. CANCER 6. Cancer Imaging 7. EBOOK 8. EBOOK - SPRINGER 9. MACHINE LEARNING 10. Magnetic Resonance (NMR, EPR) 11. Mathematical Models of Cognitive Processes and Neural Networks 12. Neural networks (Computer science)?? 13. NUCLEAR MAGNETIC RESONANCE
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TitleRecent Trends in Cancer Therapeutics : Plasmonic Photothermal-Based Multimodal Cancer Therapy
Author(s)Khurana, Divya;Soni, Sanjeev
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2024.
DescriptionXXIII, 165 p. 70 illus., 65 illus. in color : online resource
Abstract NoteThis book describes the plasmonic photothermal-assisted multimodal cancer therapeutics in the area of cancer nanotechnology or cancer nanomedicine. This book covers the fundamentals of plasmonic photothermal cancer therapy as well as plasmonic photothermal mediated multimodal cancer therapy. The various steps involved in developing such therapeutic modality, viz. (a) the selection of suitable nanoparticles, (b) synthesis of multifunctional nanocomposite, (c) optimization of the photosensitizer and chemotherapeutic drug loadings, (d) characterization of the synthesized nanocomposite, and (e) therapeutic evaluations through novel tumor-tissue mimicking phantoms and the cancer cell lines are discussed in detail. Apart from the detailed description of therapeutic outcome, this book provides a step-by-step approach to develop a multifunctional nanocomposite for such therapeutics. Overall, this book provides simplified and in-depth information about cancer nanobiotechnology to the researchers and graduate students in subject areas of nanotechnology, biotechnology and pharmaceutics to develop and contribute to such multimodal cancer therapeutics
ISBN,Price9789819998791
Keyword(s)1. Biomedical engineering 2. CANCER 3. Cancer Nanotechnology 4. EBOOK 5. EBOOK - SPRINGER 6. Microplasmas 7. Nanomedicine 8. PLASMA (IONIZED GASES) 9. Plasma Medicine 10. Plasma processing
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TitleMueller-Matrix Tomography of Biological Tissues and Fluids : Digital Image Processing and Analysis Techniques
Author(s)Hu, Zhengbing;Ushenko, Yuriy A;Soltys, Iryna V;Dubolazov, Oleksandr V;Gorsky, M. P;Olar, Oleksandr V;Trifonyuk, Liliya Yu
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2024.
DescriptionXIII, 115 p. 83 illus., 59 illus. in color : online resource
Abstract NoteThis book presents experimental investigations and digital image processing, highlighting the interaction of polarized radiation with phase-inhomogeneous and optically anisotropic biological layers. The promising and efficient use of vector-parametric description of the formation of polarization-inhomogeneous object fields is noted. Applications of a set of Mueller-matrix polarimetry methods are highlighted. The book includes- structural and logical scheme of multi-parameter (singular, interference and layer-by-layer Stokes-polarimetric), polarization-correlation study of the structure of distributions of the number of singularities, maps of local contrast of interference distributions and layer-by-layer maps of microscopic polarization azimuth and ellipticity; determination of relationships between changes in the magnitude of statistical parameters characterizing polarization-correlation distributions and pathology of prostate tumors
ISBN,Price9789819982288
Keyword(s)1. APPLIED OPTICS 2. CANCER 3. Cancer Imaging 4. EBOOK 5. EBOOK - SPRINGER 6. IMAGE PROCESSING 7. MATERIALS 8. Medical physics 9. MICROSCOPY 10. OPTICS 11. SIGNAL PROCESSING 12. Signal, Speech and Image Processing
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TitleEngineered Biomaterials : Synthesis and Applications
Author(s)Malviya, Rishabha;Sundram, Sonali
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2023.
DescriptionXVI, 619 p. 153 illus., 145 illus. in color : online resource
Abstract NoteThis book highlights recent advances focusing on the synthesis methods of engineered biomaterials and their applications. The book discusses recent applications of various approaches and technology in improving the functional properties and biological activities of biopolymers. It includes two major sections: the first section introduces a range of methods which lead to materials with enhanced properties for a range of practical applications, along with the positives and limitations of the techniques. The second section covers recent trends and advances in application of engineered biomaterials that assist materials scientists and researchers in mapping out the future of these new improved materials through value addition in order to enhance their use. Contributions in the book are done by prominent researchers from industry, academia, and government/private research laboratories across the globe. The book summarizes in a fairly comprehensive manner many of the recent technical advancements in the area of biopolymers. The book is intended to serve as a reference resource in the area of polymers science
ISBN,Price9789819966981
Keyword(s)1. Biomaterials 2. Biomedical engineering 3. Biomedical Engineering and Bioengineering 4. CANCER 5. Cancer Therapy 6. EBOOK - SPRINGER 7. Medical physics 8. Nanobiotechnology 9. Nanophysics 10. NANOSCIENCE
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TitleTargeted Cancer Therapy in Biomedical Engineering
Author(s)Malviya, Rishabha;Sundram, Sonali
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2023.
DescriptionXXII, 941 p. 211 illus., 204 illus. in color : online resource
Abstract NoteThis book highlights the role of Biomedical Engineering (BME) used in diagnosis (e.g., body scanners) and treatment (radiation therapy and minimal access surgery in order to prevent various diseases). In recent years, an important progress has been made in the expansion of biomedical microdevices which has a major role in diagnosis and therapy of cancer. When fighting cancer, efficacy and speed are of the utmost importance. A recently developed microfluidic chip has enabled a breakthrough in testing the efficacy of specialized cancer drugs. Effective cancer-targeting therapies will require both passive and active targeting strategies and a thorough understanding of physiologic barriers to targeted drug delivery. Targeted cancer treatments in development and the new combinatorial approaches show promise for improving targeted anticancer drug delivery and improving treatment outcomes. This book discusses the advancements and innovations in the field of BME that improve the diagnosis and treatment of cancer. This book is focused on bioengineering approaches to improve targeted delivery for cancer therapeutics, which include particles, targeting moieties, and stimuli-responsive drug release mechanisms. This book is a useful resource for students, researchers, and professionals in BME and medicine
ISBN,Price9789811997860
Keyword(s)1. Biomedical engineering 2. Biomedical Engineering and Bioengineering 3. CANCER 4. Cancer Imaging 5. Cancer Therapy 6. Computer-aided engineering 7. Computer-Aided Engineering (CAD, CAE) and Design 8. EBOOK - SPRINGER 9. Medical physics 10. Nanobiotechnology
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7.     
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TitleTheranostic Iron-Oxide Based Nanoplatforms in Oncology : Synthesis, Metabolism, and Toxicity for Simultaneous Imaging and Therapy
Author(s)Savari, Mohammad-Nabil;Jabali, Ali
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2023.
DescriptionXV, 410 p. 125 illus., 119 illus. in color : online resource
Abstract NoteThis book highlights the most efficient and latest ways to deal with cancer, focusing on IONPs. The book describes some well-designed surface modifications performed through several functional materials over the surface of IONPs, which results in the development of multifunctional IONPs-based delivery nanoplatforms by enhancing solubility, stability, and avoiding side effects on healthy cells. Several types of stimuli-responsive IONPs-based strategies are also discussed. Owing to magnetic, structural, and thermal properties, IONPs themselves can be utilized for magnetic targeting, magnetic hyperthermia, and phototherapy. Significant advancements are presented in IONPs-based immunotherapy, radiotherapy, and sonodynamic therapy for the efficient treatment of cancer. Finally, the book presents RIONs which serve as the parent platform for the development of powerful DMCAs utilized in SPECT/MRI and PET/MRI applications
ISBN,Price9789819965076
Keyword(s)1. Bioanalysis and Bioimaging 2. BIOPHYSICS 3. CANCER 4. Cancer Imaging 5. EBOOK - SPRINGER 6. Medical physics 7. Nanochemistry 8. Nanoengineering 9. NANOTECHNOLOGY
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8.     
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TitleDeep Learning in Cancer Diagnostics : A Feature-based Transfer Learning Evaluation
Author(s)Arzmi, Mohd Hafiz;P. P. Abdul Majeed, Anwar;Muazu Musa, Rabiu;Mohd Razman, Mohd Azraai;Gan, Hong-Seng;Mohd Khairuddin, Ismail;Ab. Nasir, Ahmad Fakhri
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2023.
DescriptionX, 34 p. 13 illus., 11 illus. in color : online resource
Abstract NoteCancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer
ISBN,Price9789811989377
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. CANCER 3. Cancer Imaging 4. Computational Intelligence 5. EBOOK - SPRINGER 6. Medical physics
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9.    
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TitleCancer biology
Author(s)Scientific American
PublicationNew York, W.H. Freeman and Co., 1986.
Description156pp.
Classification616-006.6
Keyword(s)CANCER
Item TypeBook

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009041   616-006.6/R.S.A./009041  On Shelf    

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