Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging : Studies in Big Data : Book 152 - M. F. Mridha

Data-Driven Clinical Decision-Making Using Deep Learning in Imaging

By: M. F. Mridha (Editor), Nilanjan Dey (Editor)

eText | 13 August 2024

At a Glance

eText

$279.00

or 4 interest-free payments of $69.75 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This book explores cutting-edge medical imaging advancements and their applications in clinical decision-making. The book contains various topics, methodologies, and applications, providing readers with a comprehensive understanding of the field's current state and prospects. It begins with exploring domain adaptation in medical imaging and evaluating the effectiveness of transfer learning to overcome challenges associated with limited labeled data. The subsequent chapters delve into specific applications, such as improving kidney lesion classification in CT scans, elevating breast cancer research through attention-based U-Net architecture for segmentation and classifying brain MRI images for neurological disorders. Furthermore, the book addresses the development of multimodal machine learning models for brain tumor prognosis, the identification of unique dermatological signatures using deep transfer learning, and the utilization of generative adversarial networks to enhance breast cancer detection systems by augmenting mammogram images. Additionally, the authors present a privacy-preserving approach for breast cancer risk prediction using federated learning, ensuring the confidentiality and security of sensitive patient data. This book brings together a global network of experts from various corners of the world, reflecting the truly international nature of its research.

on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionEngineering & TechnologyTechnology in GeneralEngineering in GeneralMathematicsProbability & StatisticsOptimisationComputing & I.T.Computer ScienceArtificial IntelligenceMachine Learning

More in Artificial Intelligence

AI-Powered Search - Trey Grainger

eBOOK

AI-Powered Search

eBook

$52.99

HBR Guide to Generative AI for Managers : HBR Guide - Elisa Farri

eBOOK

HBR Guide to Generative AI for Managers

HBR Guide

eBook

RRP $37.15

$29.99

19%
OFF
AI : The End of Human Race - Alex Wood

eBOOK

AI

The End of Human Race

eBook

$16.99

This product is categorised by