عنوان

Machine learning and deep learning techniques for medical image recognition

Qualification

(ebook)

Qualification

(hardback)

Qualification

(paperback)

(Number (ISBN

9781003366249

Erroneous ISBN

9781032416168

Erroneous ISBN

9781032432212

Number

7222

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Machine learning and deep learning techniques for medical image recognition

General Material Designation

[cartographic materials]

First Statement of Responsibility

edited by Ben Othman Soufiene and Chinmay Chakraborty.

Edition Statement

First edition.

Place of Publication, Distribution, etc.

Boca Raton :

Name of Publisher, Distributor, etc.

CRC Press, Taylor & Francis Group,

Date of Publication, Distribution, etc.

2024.

Specific Material Designation and Extent of Item

xii, 257 pages

Other Physical Details

ill., tables.

Text of Note

Includes bibliographical references and index.

Text of Note

Medical Image Detection and Recognition using Machine learning and Deep learning / Arun Anoop M, Karthikeyan P and Poonkuntran S -- Multiple lung disease prediction using x-ray images based on deep convolutional neural network / Nagarjuna Telagam, Nehru Kandasamy, Kumar Raja D R, Tharuni Gelli, D. Ajitha -- Analysis of Machine Learning and Deep Learning in Health Informatics, and its application / Gelli Tharuni, Challa Sri Gouri, D. Ajitha, Telagam Nagarjuna, Ben Othman Soufiene -- Automated Acute Lymphoblastic Leukemia Detection using Blood Smear Image Analysis / Chandan Kumar Jha, Arvind Choubey, Maheshkumar H. Kolekar, Chinmay Chakraborty -- Smart Digital Healthcare Solutions using Medical Imaging and Advanced AI Techniques / P Divyashree, Priyanka Dwivedi -- Efficient Lung diseases model Predictor toward fast prediction / Souid Abdelbaki, Hamroun Mohamed, Ben Othman Soufiene, Sakli Hedi -- Artificial intelligence used to recognize fetal plans based on ultrasound scans during pregnancy / Haifa Ghabri, Ben Othman Soufiene, Hedi Sakli -- The Artificial intelligence techniques for cancer detection from medical images / Rabiaa Tbibe, Ben Othman Soufiene, Chinmay Chakraborty, Sakli Hedi -- Handling segmentation and classification problems in deep learning for identification of Interstitial Lung Disease / Tapas Pal, Biswadev Goswami, Rajesh P Barnwal -- Computer Vision approaches in the Radiograph Images Analysis : A Targeted Review of Current Progress, Challenges and Future Perspective / Souid Abdelbaki, Ben Othman Soufiene, Sakli Hedi -- Deep Learning Method for Brain Tumor Segmentation / Marwen SAKLI, Chaker ESSID, Bassem BEN SALAH, Hedi SAKLI -- Face Mask Detection and Temperature Scanning for the Covid-19 Surveillance System based on deep learning models / Nagarjuna Telagam, D. Ajitha, Nehru Kandasamy, Ben Othman Soufiene -- Diabetic disease prediction using machine learning models and algorithms for early classification and diagnosis assessment / Aayush, Jawahar Sundaram, Devaraju S, Sujith Jayaprakash, Harishchander Anandaram, Manivasagan C -- Defeating Alzheimer, AI perspective from diagnostics to prognostic : literature summary / Iheb Elghaieb, Abdelbaki Souid, Ahmed Zouinkhi, Hedi Sakli.

0

Text of Note

"Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory, and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis and it teaches how ML and DL algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy, and pathology and so forth. It also covers common research problems in medical image analysis and their challenges while focussing on aspects of deep learning and machine learning for combating COVID-19. It also includes pertinent case studies. This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging"--

Place of Publication

Boca Raton : CRC Press,Taylor & Francis Group, 2024

Edition Statement

First edition.

Title

Machine learning and deep learning techniques for medical image recognition

International Standard Book Number

9781032416168

Bibliographic Record Identifier

(DLC) 2023027782

Entry Element

Image Processing, Computer-Assisted

Entry Element

Machine Learning

Topical Subdivision

methods

Subject Term

Machine Learning.

Entry Element

Soufiene, Ben Othman,

Entry Element

Chakraborty, Chinmay,

Dates

1984-,

Relator Code

Editor

Relator Code

Editor

Country

ایران

Agency

Central Library of the Kurdistan University

Date of Transaction

20250505163633.0

Cataloguing Rules (Descriptive Conventions))

rda

e

BL

280328

a

Y