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Recent Advances in Histopathology 27, presents a collection of in-depth reviews dealing with recent developments in histopathology. The chapters are written by recognized experts in an accessible and easy to read format supplemented with judiciously chosen colour microphotographs. For quick review and additional emphasis, each article is further enhanced by a set of bulleted ‘key points for clinical practice’, summarizing the message and pin-pointing the clinical relevance of the presented material for the daily practice of histopathology.
1) Opens with a foundational chapter on machine learning and the role of AI in advancing diagnostic histopathology.
2) Covers a wide range of relevant topics, including:
Choriocarcinoma
Poorly differentiated carcinomas of the thyroid
Classification of thymomas
Classification of odontogenic tumors
Tumors of the biliary tract
Plasma cell neoplasms
3) Each chapter presents a comprehensive overview with key diagnostic insights.
4) Indexed for easy navigation and quick reference.
5) Valuable resource for practicing histopathologists seeking updates and trainees preparing for assessments.
Priyanka
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