TY  - BOOK
AU  - Biswas,Mainak
AU  - Suri,Jasjit S.
ED  - Institute of Physics (Great Britain),
TI  - Multimodality imaging
T2  - [IOP release $release]
SN  - 9780750323529
AV  - RC78.7.D53 M855 2022eb vol. 2
PY  - 2023///]
CY  - Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK)
PB  - IOP Publishing
KW  - Diagnostic imaging
KW  - Data processing
KW  - Deep learning (Machine learning)
KW  - Computer vision
KW  - Visual perception
KW  - Diagnostic Imaging
KW  - Deep Learning
KW  - Visual Perception
KW  - Biomedical engineering
KW  - bicssc
KW  - TECHNOLOGY & ENGINEERING / Biomedical
KW  - bisacsh
N1  - "Version: 20231101"--Title page verso; Includes bibliographical references; part I. An overview of deep learning and its applications in COVID-19 and tuberculosis. 1. An overview of AI applications in medical imaging for COVID-19-related brain and heart injuries / Harshit Sharma, Radhakrishn Birla, Mainak Biswas and Jasjit S. Suri -- 2. Characterizing acute respiratory distress syndrome in COVID-19 : a narrative review of artificial intelligence-based lung analysis / Ashutosh Jha, Radhakrishn Birla, Mainak Biswas and Jasjit S. Suri -- 3. A multicenter study using COVLIAS 2.0 : eight pruned deep learning models for efficient COVID-19 CT lung segmentation and lesion localization / Venkateshh Moningi, Mohit Agarwal, Mainak Biswas and Jasjit S. Suri -- 4. An investigation of the inter-variability in COVLIAS 1.0 : hybrid deep learning approaches for segmenting COVID-19 lungs in CT scans / Venkateshh Moningi, Sushant Agarwal, Mainak Biswas and Jasjit S. Suri -- 5. A comparative analysis of tuberculosis-infected lung x-ray image segmentation : U-Net vs. U-Net++ / Radhakrishn Birla, Gautam Chugh, Swastika Bishnoi, Riddhika Shringi, Piyush Kumar and Mainak Biswas -- part II. An overview of deep learning and its applications in cardiovascular diseases. 6. Reviewing the role of artificial intelligence in heart and vascular ultrasound : advancements and applications / Mayank Singhal, Radhakrishn Birla, Mainak Biswas, Sujoy Datta and Jasjit S. Suri -- 7. A deep learning perspective in internal carotid artery and bulb segmentation : review / Amita Banerjee, Pankaj Kumar Jain, Radhakrishn Birla, Mainak Biswas and Jasjit S. Suri -- 8. Deep learning framework for ultrasound-based carotid artery disease management : a review / Mainak Biswas and Jasjit S. Suri; Academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis; Also available in print
N2  - This volume discusses various diseases related to lung, heart, peripheral arterial imaging, and miscellaneous topics like gene expression characterization and classification. Further, the Vol. 2 discusses imaging applications, their complexities and the DL-models employed to resolve them in detail. The DL-based applications are categorized into two types: segmentation and characterization. The segmentation is chiefly involved in dissecting region-of-interest (ROI) of the infected part. In the characterization part, the dissected ROI or the overall image is graded as per the risk factor is involved. DL has a remarkable success in segmenting carotid plaque area from ultrasound common carotid artery images. Similarly in case of brain imaging, DL-based applications for brain cancer are divided into segmentation and characterization. In the segmentation part, the brain tumour is separated from the healthy tissue. In the characterization part, the tumour cells are graded as per their risk. Overall, DL is human brain comparable intelligence system which can strengthen effective medical treatment in a faster way. It is for sure, that DL-based technologies can enable doctors to quickly diagnose the patients, provide an effective plan for treatment and help in saving lives
UR  - https://iopscience.iop.org/book/edit/978-0-7503-2352-9
ER  -