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- Autorius: Cheng Li, Dan Wang, Fang Zhang, Yang Liu, Zhan Hua
- Leidėjas: Springer Verlag, Singapore
- Metai: 2026
- Puslapiai: 147
- ISBN-10: 9819200768
- ISBN-13: 9789819200764
- Kalba: Anglų
Atlas of High Definition Ultrasonography for Breast and Thyroid (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
This book provides a comprehensive visual reference for the diagnosis of tumors using ultrasound imaging, with a focus on enhancing readers' diagnostic accuracy and clinical interpretation skills. It presents a wide range of high-quality tumor cases from various anatomical regions, including the breast and thyroid. Each case includes four ultrasound image types-original, AI-enhanced, segmented, and color-modified-offering a multi-dimensional view that supports clear differentiation between benign and malignant features.
The book guides readers in interpreting tumor morphology by pairing imaging with detailed pathological findings through carefully selected examples, particularly of breast tumors. This perspective deepens understanding of the correlation between ultrasound characteristics and diagnostic outcomes. Designed for clinicians, radiologists, sonographers, and medical trainees, the book also introduces AI-assisted imaging as a practical tool for tumor evaluation. By integrating advanced visualization techniques with expert analysis, this resource supports clinical decision-making and contributes to the development of precision imaging in tumor diagnostics.
- Autorius: Cheng Li, Dan Wang, Fang Zhang, Yang Liu, Zhan Hua
- Leidėjas: Springer Verlag, Singapore
- Metai: 2026
- Puslapiai: 147
- ISBN-10: 9819200768
- ISBN-13: 9789819200764
- Kalba: Anglų
This book provides a comprehensive visual reference for the diagnosis of tumors using ultrasound imaging, with a focus on enhancing readers' diagnostic accuracy and clinical interpretation skills. It presents a wide range of high-quality tumor cases from various anatomical regions, including the breast and thyroid. Each case includes four ultrasound image types-original, AI-enhanced, segmented, and color-modified-offering a multi-dimensional view that supports clear differentiation between benign and malignant features.
The book guides readers in interpreting tumor morphology by pairing imaging with detailed pathological findings through carefully selected examples, particularly of breast tumors. This perspective deepens understanding of the correlation between ultrasound characteristics and diagnostic outcomes. Designed for clinicians, radiologists, sonographers, and medical trainees, the book also introduces AI-assisted imaging as a practical tool for tumor evaluation. By integrating advanced visualization techniques with expert analysis, this resource supports clinical decision-making and contributes to the development of precision imaging in tumor diagnostics.
Atsiliepimai