deep learning

Lymphocyte-Infiltrated Periportal Region Detection with Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features
Lymphocyte-Infiltrated Periportal Region Detection with Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
The early diagnosis and treatment of hepatitis is essential to reduce hepatitis-related liver function deterioration and mortality. One component of the widely-used Ishak grading system for the grading of periportal… read more

Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods
Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To predict physician fixations specifically on ophthalmology optical coherence tomography (OCT) reports from eye tracking data using CNN based saliency prediction methods in order to aid in the education… read more

Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management
Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Accurate short- and mid-term blood glucose predictions are crucial for patients with diabetes struggling to maintain healthy glucose levels, as well as for individuals at risk of developing the disease.… read more

Physically Meaningful Surrogate Data for COPD
Physically Meaningful Surrogate Data for COPD 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
The rapidly increasing prevalence of debilitating breathing disorders, such as chronic obstructive pulmonary disease (COPD), calls for a meaningful integration of artificial intelligence (AI) into respiratory healthcare. Deep learning techniques… read more

Comprehensive Assessment of Fine-Grained Wound Images Using a Patch-Based CNN With Context-Preserving Attention
Author(s)3: Ziyang Liu, Emmanuel Agu, Peder Pedersen, Clifford Lindsay, Bengisu Tulu, Diane Strong
Comprehensive Assessment of Fine-Grained Wound Images Using a Patch-Based CNN With Context-Preserving Attention 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Chronic wounds affect 6.5 million Americans. Wound assessment via algorithmic analysis of smartphone images has emerged as a viable option for remote assessment. Methods: We comprehensively score wounds based on…

read more

Deep Learning Classification of Systemic Sclerosis Skin using the MobileNetV2 Model
Author(s)3: Metin Akay, Yong Du, Cheryl L Sershen, Minghua Wu, Ting Y Chen, Shervin Assassi, Chandra Mohan, Yasemin M. Akay
Deep Learning Classification of Systemic Sclerosis Skin using the MobileNetV2 Model 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and internal organs. Early diagnosis of the disease is crucial for designing effective therapy and management…

read more

COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings
Author(s)3: Jordi Laguarta, Ferran Hueto, Brian Subirana
COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings 200 200 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
We hypothesized that COVID-19 subjects, especially including asymptomatics, could be accurately discriminated only from a forced-cough cell phone recording using Artificial Intelligence. To train our MIT Open Voice model we built a data collection pipeline of COVID-19 cough recordings through our website (opensigma.mit.edu) between April and May 2020 and created the largest audio COVID-19 cough balanced dataset reported to date with 5,320 subjects. read more
Search this website