Intelligent Computing Techniques in Biomedical Imaging 1st Edition

Capture the future of medical imaging with Intelligent Computing Techniques in Biomedical Imaging, 1st Edition by Bikesh Kumar Singh and G. R. Sinha. This authoritative volume brings together state‑of‑the‑art computational approaches tailored for real-world biomedical challenges, making it an essential resource for students, researchers, and practitioners worldwide.

Discover clear, engaging explanations of advanced topics—image enhancement, segmentation, registration, classification, and quantitative analysis—underpinned by intelligent computing methods such as machine learning, deep learning, and pattern recognition. The book balances theoretical foundations with practical insights, presenting algorithms, workflow strategies, and examples that bridge academia and clinical application.

Ideal for graduate students, biomedical engineers, radiologists, and data scientists, this 1st Edition emphasizes applicability across diverse healthcare environments—from academic labs in Bangalore and Delhi to clinical settings in London, New York, and beyond. Readers gain the skills to implement robust image-processing pipelines, evaluate performance, and adapt techniques to modalities like MRI, CT, ultrasound, and microscopy.

What sets this title apart is its focus on actionable knowledge: concise explanations, illustrative figures, and comparative discussions that help you choose the right computational tool for a given imaging problem. Whether you’re developing diagnostic aids, optimizing image quality, or conducting translational research, this book equips you to move from concept to implementation confidently.

Advance your expertise in biomedical imaging with this practical, up-to-date reference by Singh and Sinha. Add Intelligent Computing Techniques in Biomedical Imaging to your library today and stay at the forefront of intelligent medical image analysis.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.