A Novel Neural Network for Joint Lesion Segmentation and Confidence Score Generation from PET Image

M Daraee, E Saeedzadeh… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
Lesions segmentation from PET images is considered very high challenging task compared
to the anatomical organ delineation regarding irregular and/or unpredictable …
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Topology-based Cost Function: a Novel Approach for Organ Delineation in Medical Images with Deep Learning Methods

R Karimzadeh, E Fatemizadeh… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
Medical images segmentation plays a crucial role in diagnosis and treatment planning.
Manual segmentation is a tedious and time-consuming task for experts and prone to human …
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Anomaly Detection in Brain Tumor Imaging: Few-Shot Learning with Generative Models and Knowledge Transfer

A Khodabakhsh, A Aghaee… - 2024 IEEE Nuclear …, 2024 - ieeexplore.ieee.org
Anomaly detection plays a vital role in the early identification of brain tumors in MRI scans,
and it directly impacts diagnostic accuracy and patient outcomes. Despite its importance …
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Joint Region of Interest Detection and Bone Age Estimation from Radiograph of the Hand

F Maleki, A Karimian, SS Ashrafi… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
Skeletal bone age assessment is a conventional clinical method used to determine
adolescent maturity in orthodontics, kinematics, pediatrics, forensic science, and other …
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Role of Neural Network Architectures and Loss Functions in Semantic Segmentation of Medical Images

FG Inchehbroun, A Nodehi, A Ehsanirad… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
Regarding the vast application of deep learning solutions for different tasks, the selection of
the appropriate architectural and loss function is critical to achieving the desired results …
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A Novel Context Loss Function Defined on the Feature Maps: Evaluation for Lesion Segmentation from PET Images versus Conventional Loss Functions

M Daraee, E Saeedzadeh… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
Lesion segmentation from PET images is highly challenging due to the lack of a
definite/predictable shape/morphology for the lesions compared to the anatomical organ …
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Automated Pulmonary Nodules Detection from CT Images using Hierarchical YOLO v5s and 3D Convolutional Neural Network Classifier

YA Razlighi, A Kamali-Asl, H Arabi… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
Lung cancer is one of the leading causes of death worldwide. Early detection of lung cancer
would enable physicians to treat patients properly and noticeably reduce death rates. In this …
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A Dedicated Neural Network for Automated Segmentation of Prostate Gland from PET Images

Z Shirkhani, A Kamali-Asl, R Jahangir… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
In PET imaging, prostate segmentation would provide useful quantitative information
regarding the radiotracer absorption for radiomics studies with the aim of identifying the …
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A Novel Attention-based Neural Network for Automated Lung Lesion Delineation from 4DCT Images

P Talebi, E Saeedzadeh… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
Radiotherapy plays an important role in the treatment of non-small cell lung cancer.
Accurate segmentation of the gross target volume (GTV) is critical for successful …
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Generative Adversarial-based Framework for Classification using Imbalance Data: Application to Pneumonia Detection in Chest Radiographs

R Karimzadeh, M Bagher… - 2022 IEEE Nuclear …, 2022 - ieeexplore.ieee.org
Pneumonia is an infectious lung illness in humans that affects one or both lungs which is
caused by the fungus, bacteria, viruses, and other microorganisms. Due to the difficulty of …
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