AIMC Journal:
Computer methods and programs in biomedicine

Showing 341 to 350 of 844 articles

LRFNet: A deep learning model for the assessment of liver reserve function based on Child-Pugh score and CT image.

Computer methods and programs in biomedicine Jun 30, 2022
BACKGROUND AND OBJECTIVE: Liver reserve function should be accurately evaluated in patients with hepatic cellular cancer before surgery to evaluate the degree of liver tolerance to surgical methods. Meanwhile, liver reserve function is also an import...
Tomography, X-Ray Computed Deep Learning Carcinoma, Hepatocellular Liver Neoplasms Humans Retrospective Studies
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Explainable deep learning algorithm for distinguishing incomplete Kawasaki disease by coronary artery lesions on echocardiographic imaging.

Computer methods and programs in biomedicine Jun 21, 2022
BACKGROUND AND OBJECTIVE: Incomplete Kawasaki disease (KD) has often been misdiagnosed due to a lack of the clinical manifestations of classic KD. However, it is associated with a markedly higher prevalence of coronary artery lesions. Identifying cor...
Echocardiography Infant COVID-19 Algorithms Mucocutaneous Lymph Node Syndrome Coronary Artery Disease Fever Deep Learning Child Humans Coronary Vessels
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Deep learning based domain adaptation for mitochondria segmentation on EM volumes.

Computer methods and programs in biomedicine Jun 14, 2022
BACKGROUND AND OBJECTIVE: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods have led to major breakthroughs in ...
Mitochondria Microscopy, Electron Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis.

Computer methods and programs in biomedicine Jun 9, 2022
OBJECTIVES: Recent studies have shown that deep learning based on pre-treatment positron emission tomography (PET) or computed tomography (CT) is promising for distant metastasis (DM) and overall survival (OS) prognosis in head and neck cancer (HNC)....
Head and Neck Neoplasms Prognosis Positron Emission Tomography Computed Tomography Humans Radiopharmaceuticals Deep Learning Tomography, X-Ray Computed Positron-Emission Tomography Canada Fluorodeoxyglucose F18
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Decisions are not all equal-Introducing a utility metric based on case-wise raters' perceptions.

Computer methods and programs in biomedicine Jun 3, 2022
Background and Objective Evaluation of AI-based decision support systems (AI-DSS) is of critical importance in practical applications, nonetheless common evaluation metrics fail to properly consider relevant and contextual information. In this articl...
Humans Machine Learning Benchmarking
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Prediction of the position of external markers using a recurrent neural network trained with unbiased online recurrent optimization for safe lung cancer radiotherapy.

Computer methods and programs in biomedicine May 25, 2022
BACKGROUND AND OBJECTIVE: During lung cancer radiotherapy, the position of infrared reflective objects on the chest can be recorded to estimate the tumor location. However, radiotherapy systems have a latency inherent to robot control limitations tha...
Lung Neoplasms Motion Algorithms Respiration Lung Humans Neural Networks, Computer
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Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer.

Computer methods and programs in biomedicine May 25, 2022
BACKGROUND AND OBJECTIVE: Adjuvant chemotherapy is recommended as standard treatment for colorectal cancer (CRC) with stage III according to TNM stage. However, outcomes are varied even among patients receiving similar treatments. We aimed to develop...
Prognosis Colorectal Neoplasms Neoplasm Recurrence, Local Risk Assessment Deep Learning Humans Neoplasm Staging
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YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms.

Computer methods and programs in biomedicine May 23, 2022
BACKGROUND AND OBJECTIVE: Both mass detection and segmentation in digital mammograms play a crucial role in early breast cancer detection and treatment. Furthermore, clinical experience has shown that they are the upstream tasks of pathological class...
Neural Networks, Computer Female Diagnosis, Computer-Assisted Mammography Breast Neoplasms Humans Breast
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Computer-aided detection and segmentation of malignant melanoma lesions on whole-body F-FDG PET/CT using an interpretable deep learning approach.

Computer methods and programs in biomedicine May 22, 2022
BACKGROUND AND OBJECTIVE: In oncology, 18-fluorodeoxyglucose (F-FDG) positron emission tomography (PET) / computed tomography (CT) is widely used to identify and analyse metabolically-active tumours. The combination of the high sensitivity and specif...
Positron-Emission Tomography Fluorodeoxyglucose F18 Skin Neoplasms Deep Learning Radiopharmaceuticals Melanoma, Cutaneous Malignant Computers Positron Emission Tomography Computed Tomography Melanoma Humans
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Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection.

Computer methods and programs in biomedicine May 19, 2022
BACKGROUND: State-of-the-art automatic atrial fibrillation (AF) detection models trained on RR-interval (RRI) features generally produce high performance on standard benchmark electrocardiogram (ECG) AF datasets. These models, however, result in a si...
Electrocardiography, Ambulatory Heuristics Deep Learning Humans Atrial Fibrillation Electrocardiography Algorithms
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