Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

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Volume electron microscopy is the method of choice for the in situ interrogation of cellular ultrastructure at the nanometer scale, and with the increase in large raw image datasets generated, improving computational strategies for image segmentation and s ...

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State-of-the-art object detection and segmentation methods for microscopy images rely on supervised machine learning, which requires laborious manual annotation of training data. Here we present a self-supervised method based on time arrow prediction pre-t ...

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Despite an unprecedented 2 decades of success, the combat against malaria - the mosquito-transmitted disease caused by Plasmodium parasites - is no longer progressing. Efforts toward eradication are threatened by the lack of an effective vaccine and a rise ...

Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

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Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Aggregating Spatial and Photometric Context for Photometric Stereo

Multidimensional Electron Imaging of Catalyst Layer Materials

Segmenting Without Annotating: Crack Segmentation and Monitoring via Post-Hoc Classifier Explanations

Detecting Anomalies and Obstacles in Road Scenes

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction

Potent Virustatic Polymer-Lipid Nanomimics Block Viral Entry and Inhibit Malaria Parasites In Vivo

Attribute Prediction as Multiple Instance Learning

A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery

Counting People by Estimating People Flows

NICEdrug.ch, a workflow for rational drug design and systems-level analysis of drug metabolism

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Human-Centered Scene Understanding via Crowd Counting

Optimization methods and objective functions for analysis of metabolic network models

Clinical relevance of low-densityPlasmodium falciparumparasitemia in untreated febrile children: A cohort study

Image reconstruction for novel time domain near infrared optical tomography: towards clinical applications

HISTOBREAST, a collection of brightfield microscopy images of Haematoxylin and Eosin stained breast tissue

Evaluating salient object detection in natural images with multiple objects having multi-level saliency

Image Clustering Algorithms to Identify Complicated Cerebral Diseases. Description and Comparison

Targeting liver stage malaria with metformin