Pub Date : 2021-12-22DOI: 10.2174/9781681089409121010009
Indranath Chatterjee
{"title":"Deep Learning: A New Approach to Machine Learning","authors":"Indranath Chatterjee","doi":"10.2174/9781681089409121010009","DOIUrl":"https://doi.org/10.2174/9781681089409121010009","url":null,"abstract":"","PeriodicalId":105413,"journal":{"name":"Machine Learning and Its Application: A Quick Guide for Beginners","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122543855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.2174/9781681089409121010005
Indranath Chatterjee
{"title":"Supervised Machine Learning: Classification","authors":"Indranath Chatterjee","doi":"10.2174/9781681089409121010005","DOIUrl":"https://doi.org/10.2174/9781681089409121010005","url":null,"abstract":"","PeriodicalId":105413,"journal":{"name":"Machine Learning and Its Application: A Quick Guide for Beginners","volume":"2020 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120909502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.2174/9781681089409121010012
Indranath Chatterjee
{"title":"Conclusions","authors":"Indranath Chatterjee","doi":"10.2174/9781681089409121010012","DOIUrl":"https://doi.org/10.2174/9781681089409121010012","url":null,"abstract":"","PeriodicalId":105413,"journal":{"name":"Machine Learning and Its Application: A Quick Guide for Beginners","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122636384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.2174/9781681089409121010004
Indranath Chatterjee
{"title":"Introduction to Machine Learning","authors":"Indranath Chatterjee","doi":"10.2174/9781681089409121010004","DOIUrl":"https://doi.org/10.2174/9781681089409121010004","url":null,"abstract":"","PeriodicalId":105413,"journal":{"name":"Machine Learning and Its Application: A Quick Guide for Beginners","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130630693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.2174/9781681089409121010010
Indranath Chatterjee
{"title":"Feature Engineering","authors":"Indranath Chatterjee","doi":"10.2174/9781681089409121010010","DOIUrl":"https://doi.org/10.2174/9781681089409121010010","url":null,"abstract":"","PeriodicalId":105413,"journal":{"name":"Machine Learning and Its Application: A Quick Guide for Beginners","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129419520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.2174/9781681089409121010011
Siddhika Arunachalam
Ultrasound (US) imaging (sonography) is the most frequently performed cross-sectional diagnostic imaging modality in the field of medicine. It is non-ionizing, portable, cost-effective, and capable of real-time image acquisition and display. US is a rapidly evolving technology with substantial opportunities and challenges. Challenges include limited image quality control and high inter- and intra-operator variability. As US devices become smaller, due to progressive miniaturization of US devices in the last decade, increased computational capability can contribute significantly to decreasing variability through advanced image processing. In this paper, leading Machine Learning (ML) and Deep Learning (DL) approaches and research directions in US, with an emphasis on recent ML and DL advances is discussed. An outlook on future opportunities for ML and DL techniques to further improve clinical workflow and US-based disease diagnosis and characterization is also presented.
{"title":"Applications of Machine Learning and Deep Learning","authors":"Siddhika Arunachalam","doi":"10.2174/9781681089409121010011","DOIUrl":"https://doi.org/10.2174/9781681089409121010011","url":null,"abstract":"Ultrasound (US) imaging (sonography) is the most frequently performed cross-sectional diagnostic imaging modality in the field of medicine. It is non-ionizing, portable, cost-effective, and capable of real-time image acquisition and display. US is a rapidly evolving technology with substantial opportunities and challenges. Challenges include limited image quality control and high inter- and intra-operator variability. As US devices become smaller, due to progressive miniaturization of US devices in the last decade, increased computational capability can contribute significantly to decreasing variability through advanced image processing. In this paper, leading Machine Learning (ML) and Deep Learning (DL) approaches and research directions in US, with an emphasis on recent ML and DL advances is discussed. An outlook on future opportunities for ML and DL techniques to further improve clinical workflow and US-based disease diagnosis and characterization is also presented.","PeriodicalId":105413,"journal":{"name":"Machine Learning and Its Application: A Quick Guide for Beginners","volume":"345 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132735629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.2174/9781681089409121010007
Indranath Chatterjee
{"title":"Regression: Prediction","authors":"Indranath Chatterjee","doi":"10.2174/9781681089409121010007","DOIUrl":"https://doi.org/10.2174/9781681089409121010007","url":null,"abstract":"","PeriodicalId":105413,"journal":{"name":"Machine Learning and Its Application: A Quick Guide for Beginners","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129592087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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