Results 41 to 50 of about 1,347,345 (241)

A deep convolutional neural network for diabetic retinopathy detection via mining local and long‐range dependence

CAAI Transactions on Intelligence Technology
Diabetic retinopathy (DR), the main cause of irreversible blindness, is one of the most common complications of diabetes. At present, deep convolutional neural networks have achieved promising performance in automatic DR detection tasks.
Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang   +6 more
doaj   +1 more source

Recurrent processing during object recognition

Frontiers in Psychology, 2013
How does the brain learn to recognize objects visually, and perform this difficult feat robustly in the face of many sources of ambiguity and variability?
Randall C. O'Reilly, Randall C. O'Reilly, Dean eWyatte, Seth eHerd, Brian eMingus, David J. Jilk   +5 more
doaj   +1 more source

On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities

, 2016
Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios.
A Blake, D Blei, DG Lowe, J Lambert, K Koshikawa, M Saito, S Hinterstoisser, TL Heath, W Chiu   +8 more
core   +1 more source

Binary object recognition system on FPGA with bSOM [PDF]

, 2010
Tri-state Self Organizing Map (bSOM), which takes binary inputs and maintains tri-state weights, has been used for classification rather than clustering in this paper.
Appiah, Kofi, Dickinson, Patrick, Hunter, Andrew, Meng, Hongying   +3 more
core   +1 more source

Incidence and Outcome of Infants With Cancer in Canada: A Report From Cancer in Young People in Canada Database

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Infants with cancer are rare and face unique challenges. Our study aims to describe the incidence of infantile cancers in Canada and to compare treatment‐related mortality (TRM) and their outcomes with those of older children. Methods We conducted a retrospective cohort study using the Cancer in Young People in Canada database ...
Samuel Sassine, Hallie Coltin, Maria Kondyli, Monia Marzouki, Nicolas Prud'homme, Nida Usmani, Sylvia Cheng, Lesleigh Abbott, Tony Truong, Sapna Oberoi, Ketan Kulkarni, Josée Brossard, Lynette Bowes, Paul Gibson, Donna L. Johnston, Sarah McKillop, Roona Sinha, Lillian Sung, Catherine Vezina, Laura Wheaton, Alexandra P. Zorzi, Marie‐Claude Pelland‐Marcotte, Thai Hoa Tran   +22 more
wiley   +1 more source

Object Recognition

, 2007
Object recognition entails identifying instances of known objects in sensory data by searching for a match between features in a scene and features on a model. The key elements that make object recognition feasible are the use of diverse sensory input forms such as stereo imagery or range data, appropriate low level processing of the sensory input ...
Andrade-Cetto, Juan, Villamizar Vergel, Michael Alejandro   +1 more
openaire   +4 more sources

Recognition and localization method of occluded apples based on K-means clustering segmentation algorithm and convex hull theory [PDF]

智慧农业, 2019
Accurate segmentation and localization of apple objects in natural scenes is an important part of wisdom agriculture research for information perception and acquisition.
Jiang Mei, Sun Sashuang, He Dongjian, Song Huaibo
doaj   +1 more source

Relation Networks for Object Detection

, 2018
Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era.
Dai, Jifeng, Gu, Jiayuan, Hu, Han, Wei, Yichen, Zhang, Zheng   +4 more
core   +1 more source

The self-reference effect on memory in early childhood [PDF]

, 2013
The self-reference effect in memory is the advantage for information encoded about self, relative to other people. The early development of this effect was explored here using a concrete encoding paradigm.
Brebner, Joanne L., Cunningham, Sheila J., Quinn, Francis, Turk, David J.   +3 more
core   +4 more sources

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source