Shreyas Madhav, A V Rajaraman, Raghav Harini, S Kiliroor, Cinu C
Published in
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Our society has undergone a massive technological revolution over the past decade and electronic appliances have now become ubiquitous. The increase in production of electronic products and the growing inherent need to own the latest technology available has led to a significant increase in the amount of E-waste produced each year. India generated ...
Mohimont, Lucas Alin, François Gaveau, Nathalie Steffenel, Luiz Angelo
Post-harvest fruit grading is a necessary step to avoid disease related loss in quality. In this paper, a hierarchical method is proposed to (1) remove the background and (2) detect images that contains grape diseases(botrytis, oidium, acid rot). Satisfying segmentation performances were obtained by the proposed Lite Unet model with 92.9% IoU score...
Habtemariam, Lidiya Wubshet Zewde, Elbetel Taye Simegn, Gizeaddis Lamesgin
Published in
Medical Devices (Auckland, N.Z.)
Purpose Cervical cancer is the 4th most common cancer among women, worldwide. Incidence and mortality rates are consistently increasing, especially in developing countries, due to the shortage of screening facilities, limited skilled professionals, and lack of awareness. Cervical cancer is screened using visual inspection after application of aceti...
Tang, Jia Yuan, Mingzhen Tian, Kaibin Wang, Yuelin Wang, Dongyue Yang, Jingyuan Yang, Zhikun He, Xixi Luo, Yan Li, Ying
...
Published in
Translational Vision Science & Technology
Purpose To develop deep learning models based on color fundus photographs that can automatically grade myopic maculopathy, diagnose pathologic myopia, and identify and segment myopia-related lesions. Methods Photographs were graded and annotated by four ophthalmologists and were then divided into a high-consistency subgroup or a low-consistency sub...
Trimpl, Michael J Primakov, Sergey Lambin, Philippe Stride, Eleanor P J Vallis, Katherine A Gooding, Mark J
Published in
Physics in Medicine & Biology
Semi-automatic and fully automatic contouring tools have emerged as an alternative to fully manual segmentation to reduce time spent contouring and to increase contour quality and consistency. Particularly, fully automatic segmentation has seen exceptional improvements through the use of deep learning in recent years. These fully automatic methods ...
Liu, Xindi Jin, Kai Yang, Zehua Yan, Yan Wang, Shuai Wang, Yaqi Ye, Juan
Published in
Physics in Medicine & Biology
Objective. An automated tool for choroidal segmentation and quantitative analysis under pathological conditions is currently lacking, hindering the exploration of choroidal structural changes in fundus diseases. This study aims to create a fully automated deep learning system for the quantitative analysis of the choroid with pathological changes, a...
Guimard, Quentin Sassatelli, Lucile MARCHETTI, Francesco Becattini, Federico Seidenari, Lorenzo Del Bimbo, Alberto
Prediction of head movements in immersive media is key to design efficient streaming systems able to focus the bandwidth budget on visible areas of the content. Numerous proposals have therefore been made in the recent years to predict 360°images and videos. However, the performance of these models is limited by a main characteristic of the head mo...
Barbieri, Sebastiano Mehta, Suneela Wu, Billy Bharat, Chrianna Poppe, Katrina Jorm, Louisa Jackson, Rod
Published in
International journal of epidemiology
Machine learning-based risk prediction models may outperform traditional statistical models in large datasets with many variables, by identifying both novel predictors and the complex interactions between them. This study compared deep learning extensions of survival analysis models with Cox proportional hazards models for predicting cardiovascular...
Bhatnagar, Roopal Sardar, Sakshi Beheshti, Maedeh Podichetty, Jagdeep T
Published in
JAMIA Open
Objective To summarize applications of natural language processing (NLP) in model informed drug development (MIDD) and identify potential areas of improvement. Materials and Methods Publications found on PubMed and Google Scholar, websites and GitHub repositories for NLP libraries and models. Publications describing applications of NLP in MIDD were...
Han, R Jones, C K Lee, J Zhang, X Wu, P Vagdargi, P Uneri, A Helm, P A Luciano, M Anderson, W S
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Published in
Physics in Medicine & Biology
Objective. The accuracy of navigation in minimally invasive neurosurgery is often challenged by deep brain deformations (up to 10 mm due to egress of cerebrospinal fluid during neuroendoscopic approach). We propose a deep learning-based deformable registration method to address such deformations between preoperative MR and intraoperative CBCT. Appr...
