Yousif, Ahmed Sabeeh and Sheikh, Usman Ullah and Omar, Zaid and Ahmed Mahmood, Omar (2021) Review on anatomical medical images classification methods: Diagnostic value. In: 2nd International Conference of Modern Applications on Information and Communication Technology, ICMAICT 2020, 22 - 23 October 2020, Babylon-Hilla City.
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Official URL: http://dx.doi.org/10.1088/1742-6596/1804/1/012120
Abstract
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).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | deep leaning limitations, Lesion classification methods |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 94363 |
| Deposited By: | Widya Wahid |
| Deposited On: | 31 Mar 2022 15:14 |
| Last Modified: | 31 Mar 2022 15:14 |
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