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Author | Title | Accn# | Year | Item Type | Claims |
1 |
Gogoi, Ankur |
Biomedical Imaging |
I13162 |
2024 |
eBook |
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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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1.
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Title | Biomedical Imaging : Advances in Artificial Intelligence and Machine Learning |
Author(s) | Gogoi, Ankur;Mazumder, Nirmal |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2024. |
Description | XX, 347 p. 104 illus., 85 illus. in color : online resource |
Abstract Note | This 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,Price | 9789819753451 |
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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Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I13162 |
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On Shelf |
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3.
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Title | Recent Trends in Cancer Therapeutics : Plasmonic Photothermal-Based Multimodal Cancer Therapy |
Author(s) | Khurana, Divya;Soni, Sanjeev |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2024. |
Description | XXIII, 165 p. 70 illus., 65 illus. in color : online resource |
Abstract Note | This 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,Price | 9789819998791 |
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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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I13035 |
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On Shelf |
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4.
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Title | Mueller-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 |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2024. |
Description | XIII, 115 p. 83 illus., 59 illus. in color : online resource |
Abstract Note | This 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,Price | 9789819982288 |
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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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12953 |
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On Shelf |
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5.
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Title | Engineered Biomaterials : Synthesis and Applications |
Author(s) | Malviya, Rishabha;Sundram, Sonali |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
Description | XVI, 619 p. 153 illus., 145 illus. in color : online resource |
Abstract Note | This 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,Price | 9789819966981 |
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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Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12909 |
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On Shelf |
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6.
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Title | Targeted Cancer Therapy in Biomedical Engineering |
Author(s) | Malviya, Rishabha;Sundram, Sonali |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
Description | XXII, 941 p. 211 illus., 204 illus. in color : online resource |
Abstract Note | This 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,Price | 9789811997860 |
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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Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12869 |
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On Shelf |
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7.
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Title | Theranostic Iron-Oxide Based Nanoplatforms in Oncology : Synthesis, Metabolism, and Toxicity for Simultaneous Imaging and Therapy |
Author(s) | Savari, Mohammad-Nabil;Jabali, Ali |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
Description | XV, 410 p. 125 illus., 119 illus. in color : online resource |
Abstract Note | This 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,Price | 9789819965076 |
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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Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12864 |
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On Shelf |
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8.
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Title | Deep 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 |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
Description | X, 34 p. 13 illus., 11 illus. in color : online resource |
Abstract Note | Cancer 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,Price | 9789811989377 |
Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. CANCER
3. Cancer Imaging
4. Computational Intelligence
5. EBOOK - SPRINGER
6. Medical physics
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Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12588 |
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On Shelf |
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