In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Why was the dataset created? Embrapa WGISD (Wine Grape Instance Segmentation Dataset) was created to provide images and annotation to study object detection and instance segmentation for image-based ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

This is the official code for our paper: How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model, where we ...

Abstract: Image segmentation is important for target identification, watershed segmentation algorithm is widely used in image segmentation. In view of the over segmentation and sensitivity to noise ...

Crack formation is a common phenomenon in engineering structures, which can cause serious damage to the safety and health of these structures. An important method of ensuring the safety and health of ...

Introduction: Large heterogenous multicentric data sets are indispensable to build a generalizable deep learning model for PET/CT image segmentation. However, legal, ethical and patients privacy ...