Recent advancements in deep learning based lung cancer detection: A systematic review
Cancer is considered to be a key cause of substantial fatality and morbidity in the world. A
report from the International Agency for Research on Cancer (IARC) states that 27 million …
report from the International Agency for Research on Cancer (IARC) states that 27 million …
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Positron emission tomography/computed tomography (PET/CT) is increasingly used in
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …
Machine learning empowering personalized medicine: A comprehensive review of medical image analysis methods
Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …
improved medical image processing and analysis in various tasks such as disease …
AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism
Abstract Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) provides metabolic
information, while Computed Tomography (CT) provides the anatomical context of the …
information, while Computed Tomography (CT) provides the anatomical context of the …
Modality-specific segmentation network for lung tumor segmentation in PET-CT images
Lung tumor segmentation in PET-CT images plays an important role to assist physicians in
clinical application to accurately diagnose and treat lung cancer. However, it is still a …
clinical application to accurately diagnose and treat lung cancer. However, it is still a …
A deep learning approach for automatic tumor delineation in stereotactic radiotherapy for non-small cell lung cancer using diagnostic PET-CT and planning CT
X Yu, L He, Y Wang, Y Dong, Y Song, Z Yuan… - Frontiers in …, 2023 - frontiersin.org
Introduction Accurate delineation of tumor targets is crucial for stereotactic body radiation
therapy (SBRT) for non-small cell lung cancer (NSCLC). This study aims to develop a deep …
therapy (SBRT) for non-small cell lung cancer (NSCLC). This study aims to develop a deep …
Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality pet/ct: A prospective survey
Tumor lesion segmentation and staging in cancer patients are one of the most challenging
tasks for radiologists to recommend better treatment planning like radiation therapy …
tasks for radiologists to recommend better treatment planning like radiation therapy …
Additional value of PET and CT image-based features in the detection of Occult Lymph Node metastases in Lung Cancer: a systematic review of the literature
P Guglielmo, F Marturano, A Bettinelli, M Sepulcri… - Diagnostics, 2023 - mdpi.com
Lung cancer represents the second most common malignancy worldwide and lymph node
(LN) involvement serves as a crucial prognostic factor for tailoring treatment approaches …
(LN) involvement serves as a crucial prognostic factor for tailoring treatment approaches …
Hierarchical progressive network for multimodal medical image fusion in healthcare systems
Deep learning (DL)-based multisource information processing plays an essential role in the
Internet of Medical Things (IoMT). In this field, medical image fusion integrates scan results …
Internet of Medical Things (IoMT). In this field, medical image fusion integrates scan results …
Deep Learning in Medical Image Analysis for Personalized Medicine
I Galić, M Habijan - 2023 International Symposium ELMAR, 2023 - ieeexplore.ieee.org
Deep learning (DL) has transformed the field of medical image processing, enabling
unprecedented accuracy and efficiency in various applications. It has been widely utilized …
unprecedented accuracy and efficiency in various applications. It has been widely utilized …