Artificial Intelligence over Infrared Images for Medical Applications
Artificial Intelligence over Infrared Images for Medical Applications

Author: Siva Teja Kakileti

Publisher: Springer Nature

Published: 2023-09-28

Total Pages: 154

ISBN-13: 3031445112

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This book constitutes the refereed proceedings of the ​Second Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2023 held in conjunction with MICCAI 2023, held in Vancouver, BC, Canada, on October 2, 2023. The 10 full papers presented in this book were carefully peer reviewed and selected from 15 submissions. The second workshop on AIIIMA, similarily to the first, aimes to create a forum to discuss the specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research, that has the potential to hugely impact our society, among the research community.

Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery
Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

Author: Siva Teja Kakileti

Publisher: Springer Nature

Published: 2022-11-19

Total Pages: 201

ISBN-13: 3031196600

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This book constitutes the refereed proceedings of the ​First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022. For MIABID 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society. For AIIIMA 2022, 10 papers from 15 submissions were accepted for publication. The first workshop on AIIIMA aimed to create a forum to discuss this specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research that has the potential to hugely impact our society, among the research community.

Artificial Intelligence Over Infrared Images for Medical Applications
Artificial Intelligence Over Infrared Images for Medical Applications

Author: Siva Teja Kakileti

Publisher: Springer

Published: 2024-12-08

Total Pages: 0

ISBN-13: 9783031765834

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This book constitutes the refereed proceedings of the Third International Conference on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2024, held as a virtual event, on November 9, 2024. The 11 full papers presented in these proceedings were carefully reviewed and selected from 27 submissions. These papers focus on the application of Artificial Intelligence in medical infrared imaging for cancer screening, cancer diagnosis, cancer risk assessment, treatment monitoring, sports injury, diabetic foot ulcers detection, and pain management.

Artificial Intelligence Over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery
Artificial Intelligence Over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

Author: Siva Teja Kakileti

Publisher:

Published: 2022

Total Pages: 0

ISBN-13: 9788303119667

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This book constitutes the refereed proceedings of the First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022. For AIIIMA 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society. For MIABID 2022, 10 papers from 15 submissions were accepted for publication. This workshop brought together together clinical, AI, regulatory, and pharmaceutical experts to review scientific progress and challenges in the development of AI-powered biomarkers leveraging medical imaging.

Artificial Intelligence-based Infrared Thermal Image Processing and its Applications
Artificial Intelligence-based Infrared Thermal Image Processing and its Applications

Author: U. Snekhalatha

Publisher: CRC Press

Published: 2022-09-28

Total Pages: 272

ISBN-13: 1000688453

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Infrared thermography is a fast and non-invasive technology that provides a map of the temperature distribution on the body’s surface. This book provides a description of designing and developing a computer-assisted diagnosis (CAD) system based on thermography for diagnosing such common ailments as rheumatoid arthritis (RA), diabetes complications, and fever. It also introduces applications of machine-learning and deep-learning methods in the development of CAD systems. Key Features: Covers applications of various image processing techniques in thermal imaging applications for the diagnosis of different medical conditions Describes the development of a computer diagnostics system (CAD) based on thermographic data Discusses deep-learning models for accurate diagnosis of various diseases Includes new aspects in rheumatoid arthritis and diabetes research using advanced analytical tools Reviews application of feature fusion algorithms and feature reduction algorithms for accurate classification of images This book is aimed at researchers and graduate students in biomedical engineering, medicine, image processing, and CAD.

Vitiligo
Vitiligo

Author: Somesh Gupta

Publisher: John Wiley & Sons

Published: 2018-04-30

Total Pages: 533

ISBN-13: 1118937414

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Practical guidance based on expert experience and evidence for developing management strategies for vitiligo This complete guide to vitiligo provides a full appraisal of strategy for the treatment of this autoimmune disease that affects 1-2% of the world’s population. It addresses all aspects of vitiligo, covering the science, medical and surgical therapies, and the psychological evaluations and approaches based on the proper understanding of the causes and classification of a particular case. Management of vitiligo is challenging and requires a multipronged approach. Vitiligo: Medical and Surgical Management is a comprehensive, timely, state-of-the-art resource that will help those involved with affected patients better understand and treat this disease, which takes its toll on the mental wellness of those afflicted by it. It takes an evidenced-based approach to the disease’s treatment; provides an overview of the surgical management; covers tissue and cellular grafting; and more. Thoroughly guides those involved in the clinical aspects of vitiligo Aids diagnosis and classification of severity Balances evidence and experience Compiled by world-leading expert editors Comprehensive in nature, Vitiligo: Medical and Surgical Management contains a strong practical element, and is a welcome go-to source for practicing dermatologists and those training to become a dermatologist.

Applications of Artificial Intelligence in Medical Imaging
Applications of Artificial Intelligence in Medical Imaging

Author: Abdulhamit Subasi

Publisher: Academic Press

Published: 2022-11-10

Total Pages: 381

ISBN-13: 0443184518

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Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis. Discusses new deep learning algorithms for image analysis and how they are used for medical images Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes

Advances in Pharmaceutical Biotechnology
Advances in Pharmaceutical Biotechnology

Author: Jayanta Kumar Patra

Publisher: Springer Nature

Published: 2020-03-30

Total Pages: 473

ISBN-13: 9811521956

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This book explains both the basic science and the applications of biotechnology-derived pharmaceuticals, with special emphasis on their clinical uses. The foundations of pharmaceutical biotechnology lie mainly in the capability of plants, microorganism, and animals to produce low and high molecular weight compounds useful as therapeutics. Pharmaceutical biotechnology has flourished since the advent of recombinant DNA technology and metabolic engineering, supported by the well-developed bioprocess technology. A large number of monoclonal antibodies and therapeutic proteins have been approved, delivering meaningful contributions to patients’ lives, and the techniques of biotechnology are also a driving force in modern drug discovery. Due to this rapid growth in the importance of biopharmaceuticals and the techniques of biotechnologies to modern medicine and the life sciences, the field of pharmaceutical biotechnology has become an increasingly important component in the education of pharmacists and pharmaceutical scientists. This book will serve as a complete one-stop source on the subject for undergraduate and graduate pharmacists, pharmaceutical science students, and pharmaceutical scientists in industry and academia.