1.

Record Nr.

UNINA9910683352603321

Autore

Teoh Teik Toe

Titolo

Convolutional Neural Networks for Medical Applications / / by Teik Toe Teoh

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

9789811988141

9789811988134

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (103 pages)

Collana

SpringerBriefs in Computer Science, , 2191-5776

Disciplina

616.0754

Soggetti

Computer vision

Medical sciences

Artificial intelligence

Machine learning

Image processing

Artificial intelligence - Data processing

Computer Vision

Health Sciences

Artificial Intelligence

Machine Learning

Image Processing

Data Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1) Introduction -- 2) CNN for Brain Tumor classification -- 3) CNN for Pneumonia image classification -- 4) CNN for White Blood Cell classification -- 5) CNN for Skin Cancer classification -- 6) CNN for Diabetic Retinopathy detection.

Sommario/riassunto

Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to



enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.

2.

Record Nr.

UNINA9910136087603321

Autore

Murphy Neil

Titolo

The Captivity of John II, 1356-60 : The Royal Image in Later Medieval England and France / / by Neil Murphy

Pubbl/distr/stampa

New York : , : Palgrave Macmillan US : , : Imprint : Palgrave Pivot, , 2016

ISBN

9781137532947

1137532947

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (IX, 126 p.)

Collana

The New Middle Ages, , 2945-5944

Disciplina

940.902

Soggetti

Europe - History - 476-1492

Literature, Medieval

European literature

History of Medieval Europe

Medieval Literature

European Literature

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.



Nota di contenuto

Introduction -- Chapter 1: John II and the Display of Plantagenet Power, 1356-58 -- Chapter 2: Constructing the Royal Image -- Chapter 3: The French Royal Household in Captivity -- Conclusion -- Bibliography.

Sommario/riassunto

This book provides a systematic analysis of the innovations that occurred in the display of royal power during John II’s four years in English captivity. Neil Murphy shows how the French king’s competition with Edward III led to a revolution in the presentation of the royal image, manifesting through developments to the sacral character of the French monarchy, lavish displays of gift giving, and the use of courtly display. Showing that the Hundred Years War was not just fought on the battlefields of France, this book unravels how the war played out daily in the competition for status between Edward III and John II. Neil Murphy is Senior Lecturer in History at Northumbria University, UK.