Mask R-CNN for quality control of table olives

Nutritional and Sensory Quality of Table Olives

Prostate segmentation and lesions classification in CT images using Mask R-CNN

Purpose: Non-cancerous prostate lesions such as prostate calcification, prostate enlargement, and prostate inflammation cause too many problems for men’s health. This research proposes a novel approach, a combination of image processing techniques and deep learning methods for classification and segmentation of the prostate in CT-scan images by considering the experienced physicians’ reports. ...

Microbiological Aspects of Table Olives

Table olives are the most important fermented vegetables because of their worldwide economic importance. The three main techniques for table olive production used in Italy concern 82% green olives, 16% black olives and 2% processed at the cherry ripened stage (UNAPROL, 2008). There are three main trade preparations of table olives: Spanish-style olives, Californian-style olives and naturally bl...

ME R-CNN: Multi-Expert R-CNN for Object Detection

Recent CNN-based object detection methods have drastically improved their performances but still use a single classifier as opposed to ”multiple experts” in categorizing objects. The main motivation of introducing multi-experts is twofold: i) to allow different experts to specialize in different fundamental object shape priors and ii) to better capture the appearance variations caused by differ...

Predictive microbiology and table olives

The table olive is probably one of the most important and most recognized fermented vegetable in the food industry. Basically, the elaboration of this food is constrained to Mediterranean countries, but there are also well established production regions in Australia, USA and South-America. Thus, table olive elaboration is widespread around the world and represents an important economic source f...