AIMC Topic: Necrosis

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Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.

International journal of computer assisted radiology and surgery Apr 30, 2019
PURPOSE: We address the automatic segmentation of healthy and cancerous liver tissues (parenchyma, active and necrotic parts of hepatocellular carcinoma (HCC) tumor) on multiphase CT images using a deep learning approach.
Pattern Recognition, Automated Necrosis Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted Liver Humans Neural Networks, Computer Algorithms Biomarkers Tomography, X-Ray Computed Reproducibility of Results Deep Learning
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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.

PloS one Apr 17, 2019
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digi...
Bone and Bones Necrosis Support Vector Machine Osteosarcoma Bone Neoplasms Image Interpretation, Computer-Assisted Datasets as Topic Software Reproducibility of Results Deep Learning Humans ROC Curve
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Humans Machine Learning Algorithms Middle Aged Contrast Media Calcinosis Lipids Cerebral Hemorrhage Female Reproducibility of Results Aged Sensitivity and Specificity Male Angiography Necrosis Carotid Stenosis Plaque, Amyloid Bayes Theorem Carotid Arteries Carotid Artery, Common Plaque, Atherosclerotic
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Predicting adverse drug reactions through interpretable deep learning framework.

BMC bioinformatics Dec 28, 2018
BACKGROUND: Adverse drug reactions (ADRs) are unintended and harmful reactions caused by normal uses of drugs. Predicting and preventing ADRs in the early stage of the drug development pipeline can help to enhance drug safety and reduce financial cos...
Humans Deep Learning Models, Theoretical Area Under Curve Drug-Related Side Effects and Adverse Reactions Back Pain Necrosis
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Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical- Approach Combining Experiments and Machine Learning.

Frontiers in immunology Mar 20, 2018
Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in apoptosis and necroptosis are linked to trauma- or sepsis-associated cardiomyopathy. However, the un...
Cell Culture Techniques Humans Necrosis Machine Learning Cardiomyopathies Signal Transduction Wounds and Injuries Algorithms Apoptosis Cytochromes c Cells, Cultured Caspase 3 Receptor-Interacting Protein Serine-Threonine Kinases Animals Heparitin Sulfate Sepsis Mice Myocytes, Cardiac
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Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Computer methods and programs in biomedicine Mar 3, 2018
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...
Humans Neural Networks, Computer Algorithms Pressure Ulcer Models, Anatomic Image Processing, Computer-Assisted Databases, Factual Wound Healing Tomography, X-Ray Computed Models, Statistical Reproducibility of Results Necrosis Sensitivity and Specificity Wounds and Injuries
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Abnormal elevation of myocardial necrosis biomarkers after coronary artery bypass grafting without established myocardial infarction assessed by cardiac magnetic resonance.

Journal of cardiothoracic surgery Dec 29, 2017
BACKGROUND: The diagnosis of peri-procedural myocardial infarction is complex, especially after the emergence of high-sensitivity markers of myocardial necrosis.
Myocardium Male Humans Gadolinium Heart Biomarkers Middle Aged Coronary Artery Bypass Myocardial Infarction Female Creatine Kinase, MB Form Postoperative Complications Troponin I Aged Necrosis Electrocardiography Magnetic Resonance Imaging
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Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

Journal of magnetic resonance imaging : JMRI Apr 10, 2015
PURPOSE: To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate between brain metastasis and radiation necrosis.
Brain Neoplasms Male Middle Aged Support Vector Machine Radiation Injuries Magnetic Resonance Imaging Contrast Media Brain Necrosis Diagnosis, Differential Humans Retrospective Studies Area Under Curve Female Image Enhancement Reproducibility of Results
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Effects of concurrent HER2-directed therapy on development of cerebral radionecrosis after stereotactic radiotherapy: a systematic review.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Sep 1, 2025
PURPOSE: With increasing use of human epithelial growth factor receptor two (HER2)-targeted therapies, outcomes for numerous breast cancer patients have improved. Nevertheless, patients with HER2-positive tumours face a comparatively heightened risk ...
Humans Brain Female Breast Neoplasms Molecular Targeted Therapy Brain Neoplasms Radiosurgery Antineoplastic Agents, Immunological Radiation Injuries Combined Modality Therapy Necrosis Receptor, ErbB-2 Ado-Trastuzumab Emtansine Trastuzumab
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Quantitative and Morphology-Based Deep Convolutional Neural Network Approaches for Osteosarcoma Survival Prediction in the Neoadjuvant and Metastatic Settings.

Clinical cancer research : an official journal of the American Association for Cancer Research Jan 17, 2025
PURPOSE: Necrosis quantification in the neoadjuvant setting using pathology slide review is the most important validated prognostic marker in conventional osteosarcoma. Herein, we explored three deep-learning strategies on histology samples to predic...
Necrosis Neoadjuvant Therapy Osteosarcoma Bone Neoplasms Kaplan-Meier Estimate Neural Networks, Computer Prognosis Female Young Adult Adult Male Humans Deep Learning Convolutional Neural Networks Adolescent
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