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Deep Learning - AI Medical Compendium

AIMC Topic: Deep Learning

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A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.

IEEE transactions on medical imaging Oct 2, 2023
Pathological primary tumor (pT) stage focuses on the infiltration degree of the primary tumor to surrounding tissues, which relates to the prognosis and treatment choices. The pT staging relies on the field-of-views from multiple magnifications in th...
Deep Learning Image Processing, Computer-Assisted
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Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation.

IEEE transactions on medical imaging Oct 2, 2023
A common problem with segmentation of medical images using neural networks is the difficulty to obtain a significant number of pixel-level annotated data for training. To address this issue, we proposed a semi-supervised segmentation network based on...
Deep Learning Image Processing, Computer-Assisted Supervised Machine Learning Neural Networks, Computer Algorithms
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Immune response and mesenchymal transition of papillary thyroid carcinoma reflected in ultrasonography features assessed by radiologists and deep learning.

Journal of advanced research Oct 1, 2023
INTRODUCTION: Ultrasonography (US) features of papillary thyroid cancers (PTCs) are used to select nodules for biopsy due to their association with tumor behavior. However, the molecular biological mechanisms that lead to the characteristic US featur...
Aged Adult Humans Female Gene Expression Profiling Transcriptome Deep Learning Male Middle Aged Epithelial-Mesenchymal Transition Thyroid Cancer, Papillary Gene Expression Regulation, Neoplastic Radiologists Thyroid Neoplasms Ultrasonography
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Deep Learning and Minimally Invasive Endoscopy: Automatic Classification of Pleomorphic Gastric Lesions in Capsule Endoscopy.

Clinical and translational gastroenterology Oct 1, 2023
INTRODUCTION: Capsule endoscopy (CE) is a minimally invasive examination for evaluating the gastrointestinal tract. However, its diagnostic yield for detecting gastric lesions is suboptimal. Convolutional neural networks (CNNs) are artificial intelli...
Humans Capsule Endoscopy Neural Networks, Computer Ulcer Artificial Intelligence Deep Learning
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Multilevel effective surgical workflow recognition in robotic left lateral sectionectomy with deep learning: experimental research.

International journal of surgery (London, England) Oct 1, 2023
BACKGROUND: Automated surgical workflow recognition is the foundation for computational models of medical knowledge to interpret surgical procedures. The fine-grained segmentation of the surgical process and the improvement of the accuracy of surgica...
Robotic Surgical Procedures Workflow Humans Deep Learning
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Wearable Bioimpedance-Based Deep Learning Techniques for Live Fish Health Assessment under Waterless and Low-Temperature Conditions.

Sensors (Basel, Switzerland) Sep 30, 2023
(1) Background: At present, physiological stress detection technology is a critical means for precisely evaluating the comprehensive health status of live fish. However, the commonly used biochemical tests are invasive and time-consuming and cannot s...
Temperature Animals Biomedical Technology Flatfishes Deep Learning Wearable Electronic Devices
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Deep Learning Application to Detect Glaucoma with a Mixed Training Approach: Public Database and Expert-Labeled Glaucoma Population.

Ophthalmic research Sep 30, 2023
INTRODUCTION: Artificial intelligence has real potential for early identification of ocular diseases such as glaucoma. An important challenge is the requirement for large databases properly selected, which are not easily obtained. We used a relativel...
Deep Learning Fundus Oculi Artificial Intelligence Humans Algorithms Glaucoma
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Deep Learning for Detection of Pneumothorax and Pleural Effusion on Chest Radiographs: Validation Against Computed Tomography, Impact on Resident Reading Time, and Interreader Concordance.

Journal of thoracic imaging Sep 29, 2023
PURPOSE: To study the performance of artificial intelligence (AI) for detecting pleural pathology on chest radiographs (CXRs) using computed tomography as ground truth.
Deep Learning Pleural Effusion Retrospective Studies Humans Tomography, X-Ray Computed Radiography, Thoracic Artificial Intelligence Pneumothorax
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A scoping review of methodologies for applying artificial intelligence to physical activity interventions.

Journal of sport and health science Sep 29, 2023
PURPOSE: This scoping review aimed to offer researchers and practitioners an understanding of artificial intelligence (AI) applications in physical activity (PA) interventions; introduce them to prevalent machine learning (ML), deep learning (DL), an...
Humans Artificial Intelligence Machine Learning Algorithms Health Promotion Exercise Deep Learning
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External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT.

European radiology Sep 29, 2023
OBJECTIVES: There is a need for CT pulmonary angiography (CTPA) lung segmentation models. Clinical translation requires radiological evaluation of model outputs, understanding of limitations, and identification of failure points. This multicentre stu...
Lung Diseases, Interstitial Hypertension, Pulmonary Artificial Intelligence Retrospective Studies Lung Deep Learning Tomography, X-Ray Computed Humans
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