A5028789313- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Inhalation and Respiratory Drug Delivery
- Gene expression and cancer classification
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Respiratory Support and Mechanisms
- Cutaneous Melanoma Detection and Management
- Meteorological Phenomena and Simulations
- Colorectal Cancer Screening and Detection
- Digital Radiography and Breast Imaging
- NMR spectroscopy and applications
- Wind and Air Flow Studies
- Constraint Satisfaction and Optimization
- Advanced Mathematical Modeling in Engineering
- Probabilistic and Robust Engineering Design
- Smart Parking Systems Research
- Thermodynamic and Structural Properties of Metals and Alloys
- Lattice Boltzmann Simulation Studies
- Thermoelastic and Magnetoelastic Phenomena
- Breast Lesions and Carcinomas
- Cervical Cancer and HPV Research
- Gas Dynamics and Kinetic Theory
- Nuclear reactor physics and engineering
- Advanced Manufacturing and Logistics Optimization
- Breast Cancer Treatment Studies
Laboratoire Jacques-Louis Lions
2017-2018
Sorbonne Université
2017-2018
Air Liquide (France)
2017-2018
Institut national de recherche en informatique et en automatique
2017
Sorbonne Paris Cité
2017
Background/Objectives: Histopathological diagnosis of invasive carcinoma breast samples includes the scoring mitotic activity. This is a tedious and time-consuming task with high interpathologist variability. Methods: As an assistance to pathologists, we developed deep learning based pipeline for mitosis detection according Elston Ellis grading system on Whole Slide Images (WSI) first time here described. Results: We present its performance routine data through clinical study which clearly...
Background/Objectives: Accurate assessment of mitotic activity is crucial in the histopathological diagnosis invasive breast carcinoma. However, this task time-consuming and labor-intensive, suffers from high variability between pathologists. Methods: To assist pathologists routine diagnostics, we developed an artificial intelligence (AI)-based tool that uses whole slide images (WSIs) to detect mitoses, identify hotspots, assign scores according Elston Ellis grading system. our knowledge,...
Background/Objectives: An accurate assessment of mitotic activity is crucial in the histopathological diagnosis invasive breast carcinoma. However, this task time-consuming and labor-intensive, suffers from high variability between pathologists. Methods: To assist pathologists routine diagnostics, we developed an artificial intelligence (AI)-based tool that uses whole slide images (WSIs) to detect mitoses, identify hotspots, assign scores according Elston Ellis grading system. our knowledge,...
Abstract In this article, we develop a lung ventilation model. The parenchyma is described as an elastic homogenized media. It irrigated by space‐filling dyadic resistive pipe network, which represents the tracheobronchial tree. model, tree and are strongly coupled. induces extra viscous term in system constitutive relation, leads, finite element framework, to full matrix. We consider efficient algorithm that takes advantage of structure enable fast matrix‐vector product computation. This...
Breast cancer is one of the most prevalent cancers worldwide and pathologists are closely involved in establishing a diagnosis. Tools to assist making diagnosis required manage increasing workload. In this context, artificial intelligence (AI) deep-learning based tools may be used daily pathology practice. However, it challenging develop fast reliable algorithms that can trusted by practitioners, whatever medical center. We describe patch-based algorithm incorporates convolutional neural...
Abstract In asthma and chronic obstructive pulmonary disease, some airways of the tracheobronchial tree can be constricted, from moderate narrowing up to closure. Those pathological patterns obstructions affect lung ventilation distribution. While imaging techniques enable visualization quantification constrictions in proximal generations, no noninvasive technique exists provide airway morphology obstruction distribution distal areas. this work, we propose a method that exploits measures...
Traditional designs of sodium cooled fast reactors have a positive expansion feedback. During loss flow transient without scram, heating and boiling thus insert reactivity prevents the power from decreasing. Recent studies led at CEA, AREVA EDF show that cores with complex geometries can feature very low or even negative void worth. (1, 2) Usual optimization methods for core conception are based on parametric description given design (3) . (4) New concepts shapes then only be found by hand....
<p>Early detection of breast cancer through mammography is crucial for successful treatment. Microcalcifications are small deposits calcium in ducts, they can be an indication and first detected by mammography. However, their presence must confirmed histopathologist slides examination. As a help to practitioners, we present automatic microcalcification pipeline Whole Slide Images (WSI). This patch-based approach, which patches from epithelial regions analyzed classifier determine if...
<p>Early detection of breast cancer through mammography is crucial for successful treatment. Microcalcifications are small deposits calcium in ducts, they can be an indication and first detected by mammography. However, their presence must confirmed histopathologist slides examination. As a help to practitioners, we present automatic microcalcification pipeline Whole Slide Images (WSI). This patch-based approach, which patches from epithelial regions analyzed classifier determine if...
Breast cancer is one of the most prevalent cancers worldwide and pathologists are closely involved in establishing a diagnosis. Tools to assist making diagnosis required manage increasing workload. In this context, artificial intelligence (AI) deep-learning based tools may be used daily pathology practice. However, it challenging develop fast reliable algorithms that can trusted by practitioners, whatever medical center. We describe patch-based algorithm incorporates convolutional neural...
In biomedical imaging, deep learning-based methods are state-of-the-art for every modality (virtual slides, MRI, etc.) histopathology, these can be used to detect certain biomarkers or classify lesions. However, such techniques require large amounts of data train high-performing models which intrinsically difficult acquire, especially when it comes scarce biomarkers. To address this challenge, we use a single, pre-trained, embeddings extractor convert images into features and small,...
<p>Early detection of breast cancer through mammography is crucial for successful treatment. Microcalcifications are small deposits calcium in ducts, they can be an indication and first detected by mammography. However, their presence must confirmed histopathologist slides examination. As a help to practitioners, we present automatic microcalcification pipeline Whole Slide Images (WSI). This patch-based approach, which patches from epithelial regions analyzed classifier determine if...
Introduction: Nottingham grading system is a major prognostic factor for invasive breast carcinoma (IBC). Its determination requires the evaluation of mitotic score (MS) which subject to low intra- and inter-observer reproducibility. The MS shall be performed in most proliferative area tumor, hard but critical. Artificial intelligence based tools could help pathologists detect mitosis on whole slide images (WSI). Objective: aim this study was evaluate contribution detection algorithms...