Landscape of Pattern Learning Applied to Public Health and Social Sciences / Saurav Mallik.

Format:

Book

Author/Creator:

Mallik, Saurav, author.

Series:

Public health in the 21st century series.

Public Health in the 21st Century Series

Language:

English

Subjects (All):

Public health.

Physical Description:

1 online resource (131 pages)

Edition:

First edition.

Place of Publication:

New York : Nova Science Publishers, Inc., [2025]

Summary:

"In this book, different machine learning and deep learning-based approaches are provided in terms of public health and social science. This book demonstrates medical imaging-based cancer detection studies. Chapter One discusses a comprehensive analysis of tissue-specific colorectal cancer classification from H&E-stained microscopic images. Chapter Two demonstrates an Ensemble-Based CNN framework for Breast Cancer Detection in Mammograms. Chapter Three provides a Deep Learning-Based Tissue-Specific Classification technique of Colorectal Cancer from H&E-Stained Microscopic Images. Chapter Four describes Parkinson's Disease Detection through machine learning technique from Speech and Imaging Data. Chapter Five describes empowering social causes, i.e., Indian Language Identification with Multimodality Strategy. Moreover, this book provides innovative information about pattern recognition, feature selection and disease classification from medical imaging datasets for public and social sciences that are benevolent for healthcare persons, doctors and social science researchers"-- Provided by publisher.

Contents:

Fundamentals of pattern recognition, public health and social science / Saurav Mallik and Hong Qin

Tissue-specific colorectal cancer classification from H&E-stained microscopic images / Kangkana Bora, Himanish Shekhar Das and Saurav Mallik.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9798895303504