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View article: Accurate 3D Medical Image Segmentation with Mambas
Accurate 3D Medical Image Segmentation with Mambas Open
CNNs and Transformer-based architectures are recently dominating the field of 3D medical segmentation. While CNNs face limitations in the local receptive field, Transformers require significant memory and data, making them less suitable fo…
View article: State-of-the-art review and benchmarking of barcode localization methods
State-of-the-art review and benchmarking of barcode localization methods Open
View article: Taming Mambas for 3D Medical Image Segmentation
Taming Mambas for 3D Medical Image Segmentation Open
Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with its distinctive strengths and limitations. CNNs are con…
View article: Machine Learning-Based Prediction of Emergency Department Prolonged Length of Stay: A Case Study from Italy
Machine Learning-Based Prediction of Emergency Department Prolonged Length of Stay: A Case Study from Italy Open
Overcrowding in Emergency Departments (EDs) is a pressing concern driven by high patient demand and limited resources. Prolonged Length of Stay (pLOS), a major contributor to this congestion, may lead to adverse outcomes, including patient…
View article: <i>MedShapeNet</i> – a large-scale dataset of 3D medical shapes for computer vision
<i>MedShapeNet</i> – a large-scale dataset of 3D medical shapes for computer vision Open
Objectives The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. …
View article: Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge
Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge Open
In recent years, several algorithms have been developed for the segmentation of the Inferior Alveolar Canal (IAC) in Cone-Beam Computed Tomography (CBCT) scans. However, the availability of public datasets in this domain is limited, result…
View article: Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Efficient MedSAMs: Segment Anything in Medical Images on Laptop Open
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical…
View article: Identifying Impurities in Liquids of Pharmaceutical Vials
Identifying Impurities in Liquids of Pharmaceutical Vials Open
View article: BarBeR: A Barcode Benchmarking Repository
BarBeR: A Barcode Benchmarking Repository Open
View article: Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs
Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs Open
View article: Investigating the ABCDE Rule in Convolutional Neural Networks
Investigating the ABCDE Rule in Convolutional Neural Networks Open
View article: Taming Mambas for Voxel Level 3D Medical Image Segmentation
Taming Mambas for Voxel Level 3D Medical Image Segmentation Open
Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with their distinctive strengths and limitations. CNNs are c…
View article: Sustainable Use of Resources in Hospitals: A Machine Learning-Based Approach to Predict Prolonged Length of Stay at the Time of Admission
Sustainable Use of Resources in Hospitals: A Machine Learning-Based Approach to Predict Prolonged Length of Stay at the Time of Admission Open
Length of Stay (LOS) and Prolonged Length of Stay (pLOS) are critical indicators of hospital efficiency. Reducing pLOS, particularly in public healthcare settings, is crucial for optimizing bed allocation, resource utilization, and overall…
View article: A State-of-the-Art Review with Code about Connected Components Labeling on GPUs
A State-of-the-Art Review with Code about Connected Components Labeling on GPUs Open
This article is about Connected Components Labeling (CCL) algorithms developed for GPU accelerators. The task itself is employed in many modern image-processing pipelines and represents a fundamental step in different scenarios, whenever o…
View article: Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal
Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal Open
Segmentation of the Inferior Alveolar Canal (IAC) is a critical aspect of dentistry and maxillofacial imaging, garnering considerable attention in recent research endeavors. Deep learning techniques have shown promising results in this dom…
View article: Artificial intelligence evaluation of confocal microscope prostate images: our preliminary experience
Artificial intelligence evaluation of confocal microscope prostate images: our preliminary experience Open
View article: Inferior Alveolar Canal Automatic Detection with Deep Learning CNNs on CBCTs: Development of a Novel Model and Release of Open-Source Dataset and Algorithm
Inferior Alveolar Canal Automatic Detection with Deep Learning CNNs on CBCTs: Development of a Novel Model and Release of Open-Source Dataset and Algorithm Open
Introduction: The need of accurate three-dimensional data of anatomical structures is increasing in the surgical field. The development of convolutional neural networks (CNNs) has been helping to fill this gap by trying to provide efficien…
View article: Annotating the Inferior Alveolar Canal: The Ultimate Tool
Annotating the Inferior Alveolar Canal: The Ultimate Tool Open
View article: MedShapeNetCore
MedShapeNetCore Open
MedShapeNetCore is a subset of MedShapeNet, containing more lightweight 3D anatomical shapes in the format of mask, point cloud and mesh. The shape data are stored as numpy arrays in nested dictonaries in npz format (Zenodo). This API prov…
View article: Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images
Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images Open
Background and objectives Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep learning approach to IgA nephropathy biopsy images to develop an automatic histologic progn…
View article: Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation
Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation Open
Many recent works in dentistry and maxillofacial imagery focused on the Inferior Alveolar Nerve (IAN) canal detection. Unfortunately, the small extent of available 3D maxillofacial datasets has strongly limited the performance of deep lear…
View article: Long-Range 3D Self-Attention for MRI Prostate Segmentation
Long-Range 3D Self-Attention for MRI Prostate Segmentation Open
The problem of prostate segmentation from Magnetic Resonance Imaging (MRI) is an intense research area, due to the increased use of MRI in the diagnosis and treatment planning of prostate cancer. The lack of clear boundaries and huge varia…
View article: Applications of AI and HPC in the Health Domain
Applications of AI and HPC in the Health Domain Open
International audience
View article: Deep Segmentation of the Mandibular Canal: A New 3D Annotated Dataset of CBCT Volumes
Deep Segmentation of the Mandibular Canal: A New 3D Annotated Dataset of CBCT Volumes Open
Inferior Alveolar Nerve (IAN) canal detection has been the focus of multiple recent works in dentistry and maxillofacial imaging. Deep learning-based techniques have reached interesting results in this research field, although the small si…
View article: Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction
Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction Open
View article: Connected Components Labeling on Bitonal Images
Connected Components Labeling on Bitonal Images Open
View article: The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures
The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures Open
At the present time, we are immersed in the convergence between Big Data, High-Performance Computing and Artificial Intelligence. Technological progress in these three areas has accelerated in recent years, forcing different players like s…
View article: Fast Run-Based Connected Components Labeling for Bitonal Images
Fast Run-Based Connected Components Labeling for Bitonal Images Open
Connected Components Labeling (CCL) is a fundamental task in binary image processing. Since its introduction in the sixties, several algorithmic strategies have been proposed to optimize its execution time. Most CCL algorithms in literatur…
View article: A deep analysis on high‐resolution dermoscopic image classification
A deep analysis on high‐resolution dermoscopic image classification Open
Convolutional neural networks (CNNs) have been broadly employed in dermoscopic image analysis, mainly as a result of the large amount of data gathered by the International Skin Imaging Collaboration (ISIC). As in many other medical imaging…
View article: One DAG to Rule Them All
One DAG to Rule Them All Open
In this paper, we present novel strategies for optimizing the performance of many binary image processing algorithms. These strategies are collected in an open-source framework, GRAPHGEN, that is able to automatically generate optimized C+…