An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury
Abstract Traumatic Brain Injury (TBI) could lead to intracranial hemorrhage (ICH), which has
now been identified as a major cause of death after trauma if it is not adequately diagnosed …
now been identified as a major cause of death after trauma if it is not adequately diagnosed …
A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges
K Bayoudh - Information Fusion, 2023 - Elsevier
In recent years, deep learning algorithms have rapidly revolutionized artificial intelligence,
particularly machine learning, enabling researchers and practitioners to extend previously …
particularly machine learning, enabling researchers and practitioners to extend previously …
Automatic detection and segmentation of breast cancer on MRI using mask R-CNN trained on non–fat-sat images and tested on fat-sat images
Rationale and Objectives Computer-aided methods have been widely applied to diagnose
lesions on breast magnetic resonance imaging (MRI). The first step was to identify abnormal …
lesions on breast magnetic resonance imaging (MRI). The first step was to identify abnormal …
Radar sensing for activity classification in elderly people exploiting micro-doppler signatures using machine learning
The health status of an elderly person can be identified by examining the additive effects of
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …
Utility of artificial intelligence tool as a prospective radiology peer reviewer—detection of unreported intracranial hemorrhage
Rationale and Objectives Misdiagnosis of intracranial hemorrhage (ICH) can adversely
impact patient outcomes. The increasing workload on the radiologists may increase the …
impact patient outcomes. The increasing workload on the radiologists may increase the …
A 3D-2D hybrid U-net convolutional neural network approach to prostate organ segmentation of multiparametric MRI
Please see the Author Video associated with this article. OBJECTIVE. Prostate cancer is the
most commonly diagnosed cancer in men in the United States with more than 200,000 new …
most commonly diagnosed cancer in men in the United States with more than 200,000 new …
Artificial intelligence in diagnostic radiology: where do we stand, challenges, and opportunities
Artificial intelligence (AI) is the most revolutionizing development in the health care industry
in the current decade, with diagnostic imaging having the greatest share in such …
in the current decade, with diagnostic imaging having the greatest share in such …
Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models
F Abdurahman, KA Fante, M Aliy - BMC bioinformatics, 2021 - Springer
Background Manual microscopic examination of Leishman/Giemsa stained thin and thick
blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this …
blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this …
Artificial intelligence and deep learning in neuroradiology: exploring the new frontier
H Kaka, E Zhang, N Khan - Canadian Association of …, 2021 - journals.sagepub.com
There have been many recently published studies exploring machine learning (ML) and
deep learning applications within neuroradiology. The improvement in performance of these …
deep learning applications within neuroradiology. The improvement in performance of these …
Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema
Objectives To evaluate for the first time the performance of a deep learning method based
on no-new-Net for fully automated segmentation and volumetric measurements of …
on no-new-Net for fully automated segmentation and volumetric measurements of …