Browsing by Author "Ranjbarzadeh, Ramin"
Now showing items 1-4 of 4
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Brain tumor segmentation of MRI images: a comprehensive review on the application of artificial intelligence tools
Ranjbarzadeh, Ramin; Caputo, Annalina; Tirkolaee, Erfan Babaee; Jafarzadeh Ghoushchi, Saeid; Bendechache, Malika (Elsevier, 2023)Background: Brain cancer is a destructive and life-threatening disease that imposes immense negative effects on patients’ lives. Therefore, the detection of brain tumors at an early stage improves the impact of treatments ... -
Breast tumor localization and segmentation using machine learning techniques: overview of datasets, findings, and methods
Ranjbarzadeh, Ramin; Dorosti, Shadi; Jafarzadeh Ghoushchi, Saeid; Caputo, Annalina; Tirkolaee, Erfan Babaee; Ali, Sadia Samar; Arshadi, Zahra; Bendechache, Malika (Elsevier, 2023)The Global Cancer Statistics 2020 reported breast cancer (BC) as the most common diagnosis of cancer type. Therefore, early detection of such type of cancer would reduce the risk of death from it. Breast imaging techniques ... -
A deep learning approach for robust, multi-oriented, and curved text detection
Ranjbarzadeh, Ramin; Jafarzadeh Ghoushchi, Saeid; Anari, Shokofeh; Safavi, Sadaf; Tataei Sarshar, Nazanin; Babaee Tirkolaee, Erfan; Bendechache, Malika (SPRINGER, 2022)Automatic text localization and segmentation in a normal environment with vertical or curved texts are core elements of numerous tasks comprising the identification of vehicles and self-driving cars, and preparing significant ... -
An extended approach to the diagnosis of tumour location in breast cancer using deep learning
Ghoushchi, Saeid Jafarzadeh; Ranjbarzadeh, Ramin; Najafabadi, Saeed Aghasoleimani; Osgooei, Elnaz; Tirkolaee, Erfan Babaee (SPRINGER HEIDELBERG, 2021)Breast cancer is one of the most common and deadly cancers in women. However, early detection increases the likelihood of survival by 100%. Radiologists use mammograms to take X-ray images of the breast to look for signs ...
