AIMC Topic: Algorithms

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Artificial Intelligence in Brain Tumors.

Advances in experimental medicine and biology Jan 1, 2024
The introduction of "intelligent machines" goes back to Alan Turing in the 1940s. Artificial intelligence (AI) is a broad umbrella covering different methodologies, such as machine learning and deep learning. Deep learning, characterized by multilaye...
Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Machine Learning Algorithms Brain Neoplasms Humans Neural Networks, Computer Artificial Intelligence
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Navigating Mathematical Basics: A Primer for Deep Learning in Science.

Advances in experimental medicine and biology Jan 1, 2024
We present a gentle introduction to elementary mathematical notation with the focus of communicating deep learning principles. This is a "math crash course" aimed at quickly enabling scientists with understanding of the building blocks used in many e...
Deep Learning Mathematics Science Humans Neural Networks, Computer Algorithms
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The effectiveness of deep learning model in differentiating benign and malignant pulmonary nodules on spiral CT.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Pulmonary nodule, one of the most common clinical phenomena, is an irregular circular lesion with a diameter of ⩽ 3 cm in the lungs, which can be classified as benign or malignant. Differentiating benign and malignant pulmonary nodules ha...
Tomography, Spiral Computed Multiple Pulmonary Nodules Solitary Pulmonary Nodule Diagnosis, Differential Humans Sensitivity and Specificity Female Deep Learning Algorithms Male ROC Curve Retrospective Studies Middle Aged Lung Neoplasms Aged Adult
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A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis.

In vivo (Athens, Greece) Jan 1, 2024
BACKGROUND/AIM: Breast cancer remains a major global health concern. This study aimed to develop a deep-learning-based artificial intelligence (AI) model that predicts the malignancy of mammographic lesions and reduces unnecessary biopsies in patient...
Humans Artificial Intelligence Algorithms Deep Learning Retrospective Studies Mammography Image Processing, Computer-Assisted Female Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms
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Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features.

Technology in cancer research & treatment Jan 1, 2024
PURPOSE: To predict bone marrow metastasis in neuroblastoma using contrast-enhanced computed tomography (CECT) radiomics features and explainable machine learning.
Humans Machine Learning Neuroblastoma Algorithms Retrospective Studies Tomography, X-Ray Computed Child ROC Curve Support Vector Machine Contrast Media Bone Marrow Bone Marrow Neoplasms Female Radiomics Male Infant Adolescent Child, Preschool
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PSAA-nnUNet: An Efficient Method for CT Carotid Artery Image Segmentation.

Advances in experimental medicine and biology Jan 1, 2024
Carotid artery (CA) stenosis (CAS) constitutes a significant factor to ischaemic cerebrovascular events which exhibiting no overt symptoms in the early stages. Early detection of CAS can prevent ischaemic stroke and improve patient prognosis. In this...
Radiographic Image Interpretation, Computer-Assisted Carotid Arteries Computed Tomography Angiography Carotid Stenosis Algorithms Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis.

Therapeutic advances in respiratory disease Jan 1, 2024
The review summarizes the applications of CT and AI algorithms for prognostic models in IPF and procedures of model construction. It reveals the current limitations and prospects of AI-aid models, and helps clinicians to recognize the AI algorithms a...
Lung Idiopathic Pulmonary Fibrosis Predictive Value of Tests Algorithms Prognosis Tomography, X-Ray Computed Humans Artificial Intelligence
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Parametric optimization and comparative study of machine learning and deep learning algorithms for breast cancer diagnosis.

Breast disease Jan 1, 2024
Breast Cancer is the leading form of cancer found in women and a major cause of increased mortality rates among them. However, manual diagnosis of the disease is time-consuming and often limited by the availability of screening systems. Thus, there i...
Female Breast Neoplasms Diagnosis, Computer-Assisted Humans Machine Learning Algorithms Deep Learning Data Mining
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Path planning optimization for swine manure-cleaning robots through enhanced slime mold algorithm with cellular automata.

Animal science journal = Nihon chikusan Gakkaiho Jan 1, 2024
One of the primary challenges for robotic manure cleaners in pig farming is to plan the shortest path to designated cleaning points under specified conditions with minimal processing cost and time, while avoiding collisions. However, pigs are randoml...
Animals Time Factors Algorithms Swine Robotics Animal Husbandry Manure
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Comparison of machine learning models to predict complications of bariatric surgery: A systematic review.

Health informatics journal Jan 1, 2024
Due to changes in lifestyle, bariatric surgery is expanding worldwide. However, this surgery has numerous complications, and early identification of these complications could be essential in assisting patients to have a higher-quality surgery. Machi...
Algorithms Humans Postoperative Complications Neural Networks, Computer Bariatric Surgery Machine Learning
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