A Comparison of Computer-Aided Diagnosis Schemes Optimized Using Radiomics and Deep Transfer Learning Methods

A Comparison of Computer-Aided Diagnosis Schemes Optimized Using Radiomics and Deep Transfer Learning Methods

Objective: Radiomics and deep transfer learning are two popular technologies used to develop computer-aided detection and diagnosis (CAD) schemes of medical images. This study aims to investigate and to compare the advantages and the potential limitations of applying these two technologies in develo...

Повний опис

Бібліографічні деталі
Автори: Gopichandh Danala, Sai Kiran Maryada, Warid Islam, Rowzat Faiz, Meredith Jones, Yuchen Qiu, Bin Zheng
Формат: Стаття
Мова:English
Опубліковано: MDPI AG 2022-06-01
Серія:Bioengineering
Предмети:
computer-aided diagnosis (CAD) schemes
radiomics
deep transfer learning
breast lesion classification
assessment of CAD performance
Онлайн доступ:https://www.mdpi.com/2306-5354/9/6/256

Інтернет

https://www.mdpi.com/2306-5354/9/6/256

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