Automatic 3D pulmonary nodule detection in CT images: a survey
This work presents a systematic review of techniques for the 3D automatic detection of
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …
Applying deep learning for breast cancer detection in radiology
E Mahoro, MA Akhloufi - Current Oncology, 2022 - mdpi.com
Recent advances in deep learning have enhanced medical imaging research. Breast cancer
is the most prevalent cancer among women, and many applications have been developed to …
is the most prevalent cancer among women, and many applications have been developed to …
Inbreast: toward a full-field digital mammographic database
IC Moreira, I Amaral, I Domingues, A Cardoso… - Academic radiology, 2012 - Elsevier
RATIONALE AND OBJECTIVES: Computer-aided detection and diagnosis (CAD) systems
have been developed in the past two decades to assist radiologists in the detection and …
have been developed in the past two decades to assist radiologists in the detection and …
Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects
M Firmino, AH Morais, RM Mendoça… - Biomedical engineering …, 2014 - Springer
Introduction The goal of this paper is to present a critical review of major Computer-Aided
Detection systems (CADe) for lung cancer in order to identify challenges for future research …
Detection systems (CADe) for lung cancer in order to identify challenges for future research …
A systematic survey of deep learning in breast cancer
In recent years, we witnessed a speeding development of deep learning in computer vision
fields like categorization, detection, and semantic segmentation. Within several years after …
fields like categorization, detection, and semantic segmentation. Within several years after …
Automatic detection of lung nodules in CT datasets based on stable 3D mass–spring models
We propose a computer-aided detection (CAD) system which can detect small-sized (from
3mm) pulmonary nodules in spiral CT scans. A pulmonary nodule is a small lesion in the …
3mm) pulmonary nodules in spiral CT scans. A pulmonary nodule is a small lesion in the …
Exploring the oral microbiome in rheumatic diseases, state of art and future prospective in personalized medicine with an AI approach
S Bellando-Randone, E Russo, V Venerito… - Journal of Personalized …, 2021 - mdpi.com
The oral microbiome is receiving growing interest from the scientific community, as the
mouth is the gateway for numerous potential etiopathogenetic factors in different diseases …
mouth is the gateway for numerous potential etiopathogenetic factors in different diseases …
[图书][B] Artificial intelligence in breast cancer early detection and diagnosis
Cancer is a disease that propagates due to the uncontrollable growth of abnormal cells.
Abnormal cells perform unusual functions rather than a predefined function within the …
Abnormal cells perform unusual functions rather than a predefined function within the …
An appraisal of lung nodules automatic classification algorithms for CT images
X Wang, K Mao, L Wang, P Yang, D Lu, P He - Sensors, 2019 - mdpi.com
Lung cancer is one of the most deadly diseases around the world representing about 26% of
all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent …
all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent …
King abdulaziz university breast cancer mammogram dataset (kau-bcmd)
AS Alsolami, W Shalash, W Alsaggaf, S Ashoor… - Data, 2021 - mdpi.com
The current era is characterized by the rapidly increasing use of computer-aided diagnosis
(CAD) systems in the medical field. These systems need a variety of datasets to help …
(CAD) systems in the medical field. These systems need a variety of datasets to help …