INTELLIGENT OBJECTIVE OSTEON SEGMENTATION BASED ON DEEP LEARNING

Intelligent Objective Osteon Segmentation Based on Deep Learning

Histology is key to understand physiology, development, growth and even reproduction of extinct animals.However, the identification and interpretation of certain structures, such as osteons, medullary bone (MB), and Lines of Arrested Growth (LAGs), are not only based on personal judgments, but also require considerable labor for subsequent analysis

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Two managerial public relations roles in the South African context

This article reports the findings of Stage 3 of an international collaborative research programme, its point of departure being that public relations (PR) roles researchers have largely ignored research in the management domain in their conceptualisation of the PR manager role.(The first qualitative stage was conducted in the US and UK, and the sec

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Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers

Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning.Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recently been introduced and widely investigated.We aimed to investigate the performance of deep learning mo

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