AIMC Topic: Workflow

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Weakly supervised histopathology image segmentation with self-attention.

Medical image analysis Mar 11, 2023
Accurate segmentation in histopathology images at pixel-level plays a critical role in the digital pathology workflow. The development of weakly supervised methods for histopathology image segmentation liberates pathologists from time-consuming and l...
Image Processing, Computer-Assisted Workflow Supervised Machine Learning Humans
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A deep learning workflow for quantification of micronuclei in DNA damage studies in cultured cancer cell lines: A proof of principle investigation.

Computer methods and programs in biomedicine Feb 26, 2023
The cytokinesis block micronucleus assay is widely used for measuring/scoring/counting micronuclei, a marker of genome instability in cultured and primary cells. Though a gold standard method, this is a laborious and time-consuming process with perso...
Workflow Micronucleus Tests Humans Cell Line Neoplasms Deep Learning DNA Damage
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Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence-assisted workflow.

Cytometry. Part B, Clinical cytometry Feb 23, 2023
Detection of measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is an important prognostic marker. The most common CLL MRD method in current use is multiparameter flow cytometry, but availability is limited by the need for expert...
Leukemia, Lymphocytic, Chronic, B-Cell Flow Cytometry Humans Artificial Intelligence Workflow Neoplasm, Residual
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Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflow.

Physics in medicine and biology Feb 23, 2023
. The purpose of this study was to evaluate the accuracy of brachytherapy (BT) planning structures derived from Deep learning (DL) based auto-segmentation compared with standard manual delineation for postoperative cervical cancer.. We introduced a c...
Humans Radiotherapy Planning, Computer-Assisted Female Brachytherapy Workflow Radiotherapy Dosage Uterine Cervical Neoplasms Organs at Risk Deep Learning
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Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.

Medical image analysis Feb 21, 2023
PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-autonomous robot...
Machine Learning Algorithms Workflow Benchmarking Humans Artificial Intelligence
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APLUS: A Python library for usefulness simulations of machine learning models in healthcare.

Journal of biomedical informatics Feb 13, 2023
Despite the creation of thousands of machine learning (ML) models, the promise of improving patient care with ML remains largely unrealized. Adoption into clinical practice is lagging, in large part due to disconnects between how ML practitioners eva...
Humans Machine Learning Language Workflow Delivery of Health Care Computer Simulation
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Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry.

Journal of proteome research Jan 25, 2023
Improved throughput of analysis and lowered limits of detection have allowed single-cell chemical analysis to go beyond the detection of a few molecules in such volume-limited samples, enabling researchers to characterize different functional states ...
Machine Learning Brain Workflow Single-Cell Analysis Mass Spectrometry
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Machine Learning-Enabled NIR Spectroscopy. Part 2: Workflow for Selecting a Subset of Samples from Publicly Accessible Data.

AAPS PharmSciTech Jan 10, 2023
An increasingly large dataset of pharmaceutics disciplines is frequently challenging to comprehend. Since machine learning needs high-quality data sets, the open-source dataset can be a place to start. This work presents a systematic method to choose...
Models, Theoretical Neural Networks, Computer Workflow Machine Learning Spectroscopy, Near-Infrared
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A Layered, Hybrid Machine Learning Analytic Workflow for Mouse Risk Assessment Behavior.

eNeuro Jan 9, 2023
Accurate and efficient quantification of animal behavior facilitates the understanding of the brain. An emerging approach within machine learning (ML) field is to combine multiple ML-based algorithms to quantify animal behavior. These so-called hybri...
Machine Learning Algorithms Reproducibility of Results Animals Workflow Risk Assessment Markov Chains Mice
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A Deep Learning Workflow for Mass-Forming Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma Classification Based on MRI.

Current oncology (Toronto, Ont.) Dec 30, 2022
OBJECTIVE: Precise classification of mass-forming intrahepatic cholangiocarcinoma (MF-ICC) and hepatocellular carcinoma (HCC) based on magnetic resonance imaging (MRI) is crucial for personalized treatment strategy. The purpose of the present study w...
Cholangiocarcinoma Carcinoma, Hepatocellular Bile Ducts, Intrahepatic Deep Learning Workflow Magnetic Resonance Imaging Humans Liver Neoplasms Bile Duct Neoplasms Sensitivity and Specificity
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