72 citations · 78 across the 7 of their papers we have counts for
6 papers · 1 filter
Endoscopy Classification Model Using Swin Transformer and Saliency Map
Zahra Sobhaninia, Nasrin Abharian, Nader Karimi +2
Endoscopy is a valuable tool for the early diagnosis of colon cancer. However, it requires the expertise of endoscopists and is a time-consuming process. In this work, we propose a…
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation
Zahra Sobhaninia, Nader Karimi, Pejman Khadivi +1
Brain tumor analysis in MRI images is a significant and challenging issue because misdiagnosis can lead to death. Diagnosis and evaluation of brain tumors in the early stages incre…
Brain Tumor Classification Using Medial Residual Encoder Layers
Zahra SobhaniNia, Nader Karimi, Pejman Khadivi +2
According to the World Health Organization (WHO), cancer is the second leading cause of death worldwide, responsible for over 9.5 million deaths in 2018 alone. Brain tumors count f…
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
Zahra Sobhaninia, Safiyeh Rezaei, Nader Karimi +2
Intracranial tumors are groups of cells that usually grow uncontrollably. One out of four cancer deaths is due to brain tumors. Early detection and evaluation of brain tumors is an…
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks
Zahra Sobhaninia, Ali Emami, Nader Karimi +1
One of the routine examinations that are used for prenatal care in many countries is ultrasound imaging. This procedure provides various information about fetus health and developm…
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Zahra Sobhaninia, Shima Rafiei, Ali Emami +4
Ultrasound imaging is a standard examination during pregnancy that can be used for measuring specific biometric parameters towards prenatal diagnosis and estimating gestational age…