AIMC Topic: Humans

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Crowd density estimation using deep learning for Hajj pilgrimage video analytics.

F1000Research
BACKGROUND: This paper focuses on advances in crowd control study with an emphasis on high-density crowds, particularly Hajj crowds. Video analysis and visual surveillance have been of increasing importance in order to enhance the safety and security...

Deep Learning Technology in Pathological Image Analysis of Breast Tissue.

Journal of healthcare engineering
To explore the application value of the multilevel pyramid convolutional neural network (MPCNN) model based on convolutional neural network (CNN) in breast histopathology image analysis, in this study, based on CNN algorithm and softmax classifier (S...

Analysis of Influencing Factors on Hospitalization Expenses of Patients with Breast Malignant Tumor Undergoing Surgery: Based on the Neural Network and Support Vector Machine.

Journal of healthcare engineering
OBJECTIVE: Analyze the influencing factors of hospitalization expenses of breast cancer patients in a tertiary hospital in Chengdu and provide a basis and suggestion for controlling the unreasonable increase of medical expenses.

Smart Medical Prediction for Guidance: A Mechanism Study of Machine Learning.

Journal of healthcare engineering
Data analysis and prediction have gradually attracted more and more attention in the smart healthcare industry. The smart medical prediction system is of great importance to the enterprise strategy and business development, and it is also of great va...

Higher Education Curriculum Evaluation Method Based on Deep Learning Model.

Computational intelligence and neuroscience
Higher education plays an important role in the improvement of people's quality and the development of our country. Therefore, it is necessary to evaluate the higher education curriculum. This paper analyzes and constructs the deep network learning s...

Intelligent Sports Video Classification Based on Deep Neural Network (DNN) Algorithm and Transfer Learning.

Computational intelligence and neuroscience
Traditional text annotation-based video retrieval is done by manually labeling videos with text, which is inefficient and highly subjective and generally cannot accurately describe the meaning of videos. Traditional content-based video retrieval uses...

Human Oocyte Morphology and Outcomes of Infertility Treatment: a Systematic Review.

Reproductive sciences (Thousand Oaks, Calif.)
Oocyte morphology assessment is easy to implement in any laboratory with possible quality grading prior to fertilization. At present, comprehensive oocyte morphology scoring is not performed as a routine procedure. However, it may augment chances for...

A Comparison of Models Predicting One-Year Mortality at Time of Admission.

Journal of pain and symptom management
CONTEXT: Hospitalization provides an opportunity to address end-of-life care (EoLC) preferences if patients at risk of death can be accurately identified while in the hospital. The modified Hospital One-Year Mortality Risk (mHOMR) uses demographic an...

Refining the art of the robotic TAMIS - A video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland

Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Left ventricular non-compaction (LVNC) is an uncommon cardiomyopathy characterised by a thick and spongy left ventricle wall caused by the high presence of trabeculae (hyper-trabeculation). Recently, the percentage of the tr...