AIMC Topic: Workflow

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DeepHistoClass: A Novel Strategy for Confident Classification of Immunohistochemistry Images Using Deep Learning.

Molecular & cellular proteomics : MCP Aug 21, 2021
A multitude of efforts worldwide aim to create a single-cell reference map of the human body, for fundamental understanding of human health, molecular medicine, and targeted treatment. Antibody-based proteomics using immunohistochemistry (IHC) has pr...
Humans Male Deep Learning Image Processing, Computer-Assisted Testis Bayes Theorem Proteins Workflow Immunohistochemistry
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Surgical workflow recognition with 3DCNN for Sleeve Gastrectomy.

International journal of computer assisted radiology and surgery Aug 20, 2021
PURPOSE: Surgical workflow recognition is a crucial and challenging problem when building a computer-assisted surgery system. Current techniques focus on utilizing a convolutional neural network and a recurrent neural network (CNN-RNN) to solve the s...
Humans Gastrectomy Neural Networks, Computer Workflow Surgery, Computer-Assisted
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Can Deep Learning Algorithms Help Identify Surgical Workflow and Techniques?

The Journal of surgical research Aug 13, 2021
BACKGROUND: Surgical videos are now being used for performance review and educational purposes; however, broad use is still limited due to time constraints. To make video review more efficient, we implemented Artificial Intelligence (AI) algorithms t...
Humans Artificial Intelligence Algorithms Deep Learning Workflow
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Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

BMC cancer Aug 6, 2021
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Squamous Cell Carcinoma of Head and Neck Positron Emission Tomography Computed Tomography Neoplasm Staging Aged Middle Aged Aged, 80 and over Prognosis ROC Curve Deep Learning Adult Biomarkers, Tumor Image Processing, Computer-Assisted Clinical Decision-Making Disease Management Humans Male Treatment Outcome Female Fluorodeoxyglucose F18 Kaplan-Meier Estimate Workflow Oropharyngeal Neoplasms Combined Modality Therapy Positron-Emission Tomography
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PHOTONAI-A Python API for rapid machine learning model development.

PloS one Jul 21, 2021
PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development. It functions as a unifying framework allowing the user to easily access and combine algorithms from different toolboxes into custom algorithm ...
Algorithms Workflow Datasets as Topic Neural Networks, Computer Machine Learning Software
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Quick Annotator: an open-source digital pathology based rapid image annotation tool.

The journal of pathology. Clinical research Jul 19, 2021
Image-based biomarker discovery typically requires accurate segmentation of histologic structures (e.g. cell nuclei, tubules, and epithelial regions) in digital pathology whole slide images (WSIs). Unfortunately, annotating each structure of interest...
Cell Nucleus Pathology Microscopy Colorectal Neoplasms High-Throughput Screening Assays Humans Image Interpretation, Computer-Assisted Deep Learning Biopsy Automation, Laboratory Time Factors Epithelial Cells Workflow Reproducibility of Results Predictive Value of Tests
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Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing.

BMC medical informatics and decision making Jul 12, 2021
BACKGROUND: A systematic approach to MRI protocol assignment is essential for the efficient delivery of safe patient care. Advances in natural language processing (NLP) allow for the development of accurate automated protocol assignment. We aim to de...
Radiology Workflow Magnetic Resonance Imaging Natural Language Processing Radiography Humans
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Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition.

Medical image analysis Jul 8, 2021
Surgical workflow recognition is a fundamental task in computer-assisted surgery and a key component of various applications in operating rooms. Existing deep learning models have achieved promising results for surgical workflow recognition, heavily ...
Neural Networks, Computer Reproducibility of Results Workflow Surgery, Computer-Assisted Supervised Machine Learning
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Understanding artificial intelligence based radiology studies: CNN architecture.

Clinical imaging Jul 7, 2021
Artificial intelligence (AI) in radiology has gained wide interest due to the development of neural network architectures with high performance in computer vision related tasks. As AI based software programs become more integrated into the clinical w...
Artificial Intelligence Radiography Radiology Radiologists Workflow Humans
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A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data.

Clinical nutrition (Edinburgh, Scotland) Jul 3, 2021
BACKGROUND AND AIMS: Most nutritional assessment tools are based on pre-defined questionnaires or consensus guidelines. However, it has been postulated that population data can be used directly to develop a solution for assessing malnutrition. This s...
Workflow Feasibility Studies Malnutrition Humans Nutritional Status Machine Learning Female Logistic Models Cluster Analysis Middle Aged Severity of Illness Index Functional Status Aged Nutrition Assessment Neoplasms Diagnosis, Computer-Assisted Adult Quality of Life Male China
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