A5107746453- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Energy Efficiency and Management
- Digital Radiography and Breast Imaging
- Software System Performance and Reliability
- Cutaneous Melanoma Detection and Management
- Colorectal Cancer Screening and Detection
- Cloud Computing and Resource Management
Hôpital Paris Saint-Joseph
2023
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...
The advent of many-core architectures poses new challenges to the MPI programming model which has been designed for distributed memory message passing. It is now clear that will have evolve in order exploit shared-memory parallelism, either by collaborating with other models (MPI+X) or introducing approaches. This paper considers extensions C and C++ make it possible Processes run into threads. More generally, a thread-local storage (TLS) library developed simplify collocation arbitrary...
Fault-tolerance has always been an important topic when it comes to running massively parallel programs at scale. Statistically, hardware and software failures are expected occur more often on systems gathering millions of computing units. Moreover, the larger jobs are, hours would be wasted by a crash. In this paper, we describe work done in our MPI runtime enable transparent checkpointing mechanism. Unlike 4.0 User-Level Failure Mitigation (ULFM) interface, targets solely...
<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...
<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...
High-Performance Computing (HPC) is currently facing significant challenges. The hardware pressure has become increasingly difficult to manage due the lack of parallel abstractions in applications. As a result, programs must undergo drastic evolution effectively exploit underlying parallelism. Failure do so results inefficient code. In this constrained environment, runtimes play critical role, and their testing becomes crucial. This paper focuses on MPI interface leverages binding tools...