Results 21 to 30 of about 363,783 (284)
A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images
Diagnostics, 2023 One of the most common and deadly diseases in the world is lung cancer. Only early identification of lung cancer can increase a patient’s probability of survival.
Mohammad A. Thanoon +3 more
doaj +1 more source
The Journal of Engineering, 2019 In pathological diagnosis of breast cancer, there are problems such as shortage of pathologists, difficulties in sample labeling, and huge workload of manual diagnosis. Therefore, deep learning-based computer-assisted pathology analysis systems have been
Chongyang Cui +4 more
doaj +1 more source
Automated and Computer-Assisted Detection, Classification, and Diagnosis of Diabetic Retinopathy
Telemedicine journal and e-health, 2020 Background: The introduction of artificial intelligence (AI) in medicine has raised significant ethical, economic, and scientific controversies. Introduction: Because an explicit goal of AI is to perform processes previously reserved for human clinicians
M. Abràmoff +6 more
semanticscholar +1 more source
Whole brain irradiation with simultaneous integrated boost in treatment of oligometastatic brain disease [PDF]
Vojnosanitetski Pregled, 2019 Background/Aim. Brain metastases occur in 20%–30% of all patients with systemic cancer. We aimed at investigating whether patients with oligometastatic brain disease treated with whole brain radiotherapy (WBRT) and simultaneous integrated boost of brain ...
Kolarević Goran +3 more
doaj +1 more source
Visual Interpretability in Computer-Assisted Diagnosis of Thyroid Nodules Using Ultrasound Images
Medical Science Monitor, 2020 Background The number of studies on deep learning in artificial intelligence (AI)-assisted diagnosis of thyroid nodules is increasing. However, it is difficult to explain what the models actually learn in artificial intelligence-assisted medical research.
Xi Wei +8 more
semanticscholar +1 more source
Artificial Intelligence-Assisted Diagnosis for Early Intervention Patients
Applied Sciences, 2022 The use of artificial intelligence to aid decision making is widely adopted today. Its application is found in different areas, among which the medical one is the most disruptive.
Ignacio Sierra +3 more
doaj +1 more source
Artificial intelligence assisted pterygium diagnosis: current status and perspectives [PDF]
International Journal of Ophthalmology, 2023 Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early and accurate diagnosis is essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians with
Bang Chen +9 more
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Dento maxillo facial radiology, 2019 Objectives To evaluate the diagnostic performance of a deep convolutional neural network (DCNN)-based computer-assisted diagnosis (CAD) system in the detection of osteoporosis on panoramic radiographs, through a comparison with diagnoses made by oral and
Jae-Seo Lee +5 more
semanticscholar +1 more source
Computer-aided diagnosis of colorectal polyps: assisted or autonomous? [PDF]
Clinical EndoscopyComputer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small polyps; however, its integration into clinical practice remains challenging.
Yuichi Mori, Cesare Hassan
doaj +1 more source
International Journal of Computer Assisted Radiology and Surgery, 2020 Purpose To build a novel, open-source, purely web-based platform system to address problems in the development and clinical use of computer-assisted detection/diagnosis (CAD) software.
Y. Nomura +7 more
semanticscholar +1 more source