AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 681 to 690 of 1116 articles

A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis.

IEEE journal of biomedical and health informatics May 11, 2021
Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis of malignant skin tumors is a significant goal, especially considering treatment is normally effective if the tumor is detected early. Limited published hist...
Skin Skin Neoplasms Deep Learning Humans
View on PubMed DOI

Generalized Fixation Invariant Nuclei Detection Through Domain Adaptation Based Deep Learning.

IEEE journal of biomedical and health informatics May 11, 2021
Nucleus detection is a fundamental task in histological image analysis and an important tool for many follow up analyses. It is known that sample preparation and scanning procedure of histological slides introduce a great amount of variability to the...
Cell Nucleus Histological Techniques Humans Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning
View on PubMed DOI

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.

IEEE journal of biomedical and health informatics May 11, 2021
Computer-assisted algorithms have become a mainstay of biomedical applications to improve accuracy and reproducibility of repetitive tasks like manual segmentation and annotation. We propose a novel pipeline for red blood cell detection and counting ...
Deep Learning Malaria Humans Erythrocytes Reproducibility of Results Image Processing, Computer-Assisted Cluster Analysis
View on PubMed DOI

Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.

IEEE journal of biomedical and health informatics May 11, 2021
Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) images is crucial for dealing with a hemorrhagic stroke. However, due...
Humans Hemorrhage Brain Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning
View on PubMed DOI

Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists.

IEEE journal of biomedical and health informatics May 11, 2021
Pneumothorax is potentially a life-threatening disease that requires urgent diagnosis and treatment. The chest X-ray is the diagnostic modality of choice when pneumothorax is suspected. The computer-aided diagnosis of pneumothorax has received a dram...
Pneumothorax Radiologists Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Humans
View on PubMed DOI

Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis.

IEEE journal of biomedical and health informatics May 11, 2021
Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention interventions are not often prescribed until after a fall has been reported to a healthcare provider. While still nascent, objective fall risk assessments...
Walking Gait Wearable Electronic Devices Multiple Sclerosis Prospective Studies Retrospective Studies Deep Learning Accidental Falls Humans
View on PubMed DOI

A Multiprocessing Scheme for PET Image Pre-Screening, Noise Reduction, Segmentation and Lesion Partitioning.

IEEE journal of biomedical and health informatics May 11, 2021
Accurate segmentation and partitioning of lesions in PET images provide computer-aided procedures and doctors with parameters for tumour diagnosis, staging and prognosis. Currently, PET segmentation and lesion partitioning are manually measured by ra...
Neural Networks, Computer Algorithms Humans Cluster Analysis Image Processing, Computer-Assisted Positron-Emission Tomography
View on PubMed DOI

Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations.

IEEE journal of biomedical and health informatics May 11, 2021
Digital histopathology image segmentation can facilitate computer-assisted cancer diagnostics. Given the difficulty of obtaining manual annotations, weak supervision is more suitable for the task than full supervision is. However, most weakly supervi...
Humans Image Processing, Computer-Assisted Supervised Machine Learning
View on PubMed DOI

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL.

IEEE journal of biomedical and health informatics May 11, 2021
Electrocardiography (ECG) is a very common, non-invasive diagnostic procedure and its interpretation is increasingly supported by algorithms. The progress in the field of automatic ECG analysis has up to now been hampered by a lack of appropriate dat...
Algorithms Deep Learning Neural Networks, Computer Electrocardiography Benchmarking Humans
View on PubMed DOI

MultiPredGO: Deep Multi-Modal Protein Function Prediction by Amalgamating Protein Structure, Sequence, and Interaction Information.

IEEE journal of biomedical and health informatics May 11, 2021
Protein is an essential macro-nutrient for perceiving a wide range of biochemical activities and biological regulations in living cells. In this work, we have presented a novel multi-modal approach, named MultiPredGO, for predicting protein functions...
Neural Networks, Computer Proteins
View on PubMed DOI
Popular Topics
Popular Journals