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eess.IV2023★ 5 cited
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images
Mohsen Ahmadi, Masoumeh Farhadi Nia, Sara Asgarian +4
In this study, the main objective is to develop an algorithm capable of identifying and delineating tumor regions in breast ultrasound (BUS) and mammographic images. The technique…
eess.IV2023★ 1 cited
Supervised Multi-Regional Segmentation Machine Learning Architecture for Digital Twin Applications in Coastal Regions
Mohsen Ahmadi, Ahmad Gholizadeh Lonbar, Mohammadsadegh Nouri +4
This study explores the use of a digital twin model and deep learning method to build a global terrain and altitude map based on USGS information. The goal is to artistically repre…