Brain tumor segmentation and classification on MRI via deep hybrid representation learning
N Farajzadeh, N Sadeghzadeh… - Expert Systems with …, 2023 - Elsevier
Detecting brain tumors plays an important role in patients' lives as it can help specialists
save them or let them succumb to a terminal illness otherwise. Magnetic Resonance …
save them or let them succumb to a terminal illness otherwise. Magnetic Resonance …
Federated fusion of magnified histopathological images for breast tumor classification in the internet of medical things
Breast tumor detection and classification on the Internet of Medical Things (IoMT) can be
automated with the potential of Artificial Intelligence (AI). Deep learning models rely on large …
automated with the potential of Artificial Intelligence (AI). Deep learning models rely on large …
A comprehensive review of tubule formation in histopathology images: advancement in tubule and tumor detection techniques
Breast cancer, the earliest documented cancer in history, stands as a foremost cause of
mortality, accounting for 684,996 deaths globally in 2020 (15.5% of all female cancer cases) …
mortality, accounting for 684,996 deaths globally in 2020 (15.5% of all female cancer cases) …
Deep learning-based methods for classification of microsatellite instability in endometrial cancer from HE-stained pathological images
Y Zhang, S Chen, Y Wang, J Li, K Xu, J Chen… - Journal of Cancer …, 2023 - Springer
Background Microsatellite instability (MSI) is one of the essential tumor biomarkers for
cancer treatment and prognosis. The presence of more significant PD-L1 expression on the …
cancer treatment and prognosis. The presence of more significant PD-L1 expression on the …
DiagCovidPNA: diagnosing and differentiating COVID-19, viral and bacterial pneumonia from chest X-ray images using a hybrid specialized deep learning approach
V Mohammadian Takaloo, M Hashemzadeh… - Soft Computing, 2024 - Springer
In this study, the DiagCovidPNA method is proposed to aid in diagnosing and differentiating
COVID-19 disease and viral and bacterial pneumonia (PNA) from chest X-ray (CXR) …
COVID-19 disease and viral and bacterial pneumonia (PNA) from chest X-ray (CXR) …
SPS vision net: Measuring sensory processing sensitivity via an artificial neural network
N Sadeghzadeh, N Farajzadeh, N Dattatri… - Cognitive …, 2024 - Springer
Sensory processing sensitivity (SPS) is a biological trait associated with heightened
sensitivity and responsivity to the environment. One important question is how those with the …
sensitivity and responsivity to the environment. One important question is how those with the …
IJES-OA Net: A residual neural network to classify knee osteoarthritis from radiographic images based on the edges of the intra-joint spaces
N Farajzadeh, N Sadeghzadeh… - Medical Engineering & …, 2023 - Elsevier
Among the musculoskeletal disorders in the world, osteoarthritis is the most common,
affecting most of the body joints, especially the knee. Clinical radiographic imaging methods …
affecting most of the body joints, especially the knee. Clinical radiographic imaging methods …
NSSI questionnaires revisited: A data mining approach to shorten the NSSI questionnaires
N Farajzadeh, N Sadeghzadeh - Plos one, 2023 - journals.plos.org
Background and objective Non-suicidal self-injury (NSSI) is a psychological disorder that the
sufferer consciously damages their body tissues, often too severe that requires intensive …
sufferer consciously damages their body tissues, often too severe that requires intensive …
Curvature generation based on weight-updated boosting using shoe last point-cloud measurements
Lasts are foot-shaped forms made of plastic, wood, aluminum, or 3D-printed plastic. The last
of a shoe determines not only its shape and style but also how well it fits and protects the …
of a shoe determines not only its shape and style but also how well it fits and protects the …
Integrating Transformer and Bidirectional Long Short-Term Memory for Intelligent Breast Cancer Detection from Histopathology Biopsy Images.
Breast cancer is a significant threat to the global population, affecting not only women but
also a threat to the entire population. With recent advancements in digital pathology, Eosin …
also a threat to the entire population. With recent advancements in digital pathology, Eosin …