Skip to content
O

Omar Sedqi Kareem

0000-0002-3063-2119

Publications (3)

Segmenting and Classifiying the Brain Tumor from MRI Medical Images Based on Machine Learning Algorithms: A Review

Omar Sedqi Kareem, Ahmed Khorsheed AL-Sulaifanie, Dathar Abas Hasan & Dindar Mikaeel Ahmed · Asian Journal of Research in Computer Science · 2021

A brain tumor is a problem that threatens life and impedes the normal working of the human body. The brain tumor needs to be identified early for the proper diagnosis and effective treatment planning. Tumor segmentation from an MRI brain image is one of the most focused areas of...

Open access Research Article 10.9734/ajrcos/2021/v10i230239

Skin Lesions Classification Using Deep Learning Techniques: Review

Omar Sedqi Kareem, Adnan Mohsin Abdulazeez & Diyar Qader Zeebaree · Asian Journal of Research in Computer Science · 2021

Skin cancer is a significant health problem. More than 123,000 new cases per year are recorded. Melanoma is the most popular type of skin cancer, leading to more than 9000 deaths annually in the USA. Skin disease diagnosis is getting difficult due to visual similarities. While Me...

Open access Research Article 10.9734/ajrcos/2021/v9i130210

The Prediction Process Based on Deep Recurrent Neural Networks: A Review

Diyar Qader Zeebaree, Adnan Mohsin Abdulazeez, Lozan M. Abdullrhman, Dathar Abas Hasan & Omar Sedqi Kareem · Asian Journal of Research in Computer Science · 2021

Prediction is vital in our daily lives, as it is used in various ways, such as learning, adapting, predicting, and classifying. The prediction of parameters capacity of RNNs is very high; it provides more accurate results than the conventional statistical methods for prediction....

Open access Research Article 10.9734/ajrcos/2021/v11i230259