60 citations · 63 across the 4 of their papers we have counts for
5 papers · 1 filter
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski +2
Breast cancer is one of the leading causes of death across the world in women. Early diagnosis of this type of cancer is critical for treatment and patient care. Computer-aided det…
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh kassani, Michal J. Wesolowski +2
Automatic detection of leukemic B-lymphoblast cancer in microscopic images is very challenging due to the complicated nature of histopathological structures. To tackle this issue,…
Breast Cancer Diagnosis with Transfer Learning and Global Pooling
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski +2
Breast cancer is one of the most common causes of cancer-related death in women worldwide. Early and accurate diagnosis of breast cancer may significantly increase the survival rat…
k-Relevance Vectors: Considering Relevancy Beside Nearness
Sara Hosseinzadeh Kassani, Farhood Rismanchian, Peyman Hosseinzadeh Kassani
This study combines two different learning paradigms, k-nearest neighbor (k-NN) rule, as memory-based learning paradigm and relevance vector machines (RVM), as statistical learning…
Multimodal Sparse Classifier for Adolescent Brain Age Prediction
Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang
The study of healthy brain development helps to better understand the brain transformation and brain connectivity patterns which happen during childhood to adulthood. This study pr…