Open AccessReview on Anatomical Medical Images Classification Methods: Diagnostic Value
Author(s) -
Ahmed Sabeeh Yousif,
Usman Ullah Sheikh,
Zaid Omar,
Omar Ahmed Mahmood
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1804/1/012120
Subject(s) - convolutional neural network , deep learning , artificial intelligence , computer science , machine learning , pattern recognition (psychology)
Deep learning (DL) based convolutional neural network (CNN) has grown rapidly and become a selected choice for medical imaging fields. The paper reviews into three categories; 1) exploring the supervised machine learning methods, 2) reviews the limitations in deep learning, 3) and finally reviews the majors deep learning techniques within a specific summarized on lesion classification-based DL in term of (application, method, type of lesion diseases classification, cons).