Results 71 to 80 of about 29,208 (270)

Micro scalar patterning for printing ultra fine solid lines in flexographic printing process [PDF]

, 2018
This research focuses on the study of ultra-fine solid lines printing by using Micro-flexographic machine which is combination of flexography and micro-contact printing technique.
Hassan, Suhaimi
core   +1 more source

An Improved Algorithm for Eye Corner Detection

, 2016
In this paper, a modified algorithm for the detection of nasal and temporal eye corners is presented. The algorithm is a modification of the Santos and Proenka Method.
Dasgupta, Anirban, George, Anjith, Mandloi, Anshit, Routray, Aurobinda   +3 more
core   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

An image processing pipeline to segment iris for unconstrained cow identification system

Open Computer Science, 2019
One of the most evident costs in cow farming is the identification of the animals. Classic identification processes are labour-intensive, prone to human errors and invasive for the animal.
Larregui Juan I., Cazzato Dario, Castro Silvia M.   +2 more
doaj   +1 more source

Computer Aided Detection of Anemia-like Pallor

, 2017
Paleness or pallor is a manifestation of blood loss or low hemoglobin concentrations in the human blood that can be caused by pathologies such as anemia.
Bihis, Matthew, Hage, Paul, Rahman, Humairat H., Ren, Johnny, Roychowdhury, Sohini, Sun, Donny   +5 more
core   +1 more source

Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis

Advanced Intelligent Systems, EarlyView.
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino, Giusy Giugliano, Daniele Pirone, Fabrizio Licitra, Fulvia Vitale, Pasquale Memmolo, Lisa Miccio, Massimo D’Agostino, Pietro Ferraro, Vittorio Bianco   +9 more
wiley   +1 more source

A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images

Journal of Electrical and Computer Engineering, 2016
Iris segmentation in the iris recognition systems is a challenging task under noncooperative environments. The iris segmentation is a process of detecting the pupil, iris’s outer boundary, and eyelids in the iris image.
Vineet Kumar, Abhijit Asati, Anu Gupta
doaj   +1 more source

Segmentation-Aware and Adaptive Iris Recognition

CoRR, 2019
Iris recognition has emerged as one of the most accurate and convenient biometric for the human identification and has been increasingly employed in a wide range of e-security applications. The quality of iris images acquired at-a-distance or under less constrained imaging environments is known to degrade the iris matching accuracy.
Kuo Wang, Ajay Kumar 0001
openaire   +2 more sources

Diffusion MRI and α‐Synuclein Seed Amplification Status in Parkinson's Disease

Annals of Neurology, EarlyView.
Objective Positive α‐synuclein seed amplification assay (SAA) is a biomarker found in most people with Parkinson's disease (PD). We explored if free‐water (FW) imaging detects microstructural differences in the brains of patients with early PD with SAA+ or SAA– status.
Shannon Y. Chiu, Wei‐en Wang, Robin Chen, Jesse C. DeSimone, Derek B. Archer, Charles H. Adler, Shyamal H. Mehta, Sara R. Dresler, Melissa J. Armstrong, Nikolaus McFarland, Michael Okun, David E. Vaillancourt, Parkinson's Progression Markers Initiative, Neha Prakash, Tanya Simuni, Nabila Dahodwala, Caroline Tanner, Lana Chahine, Brit Mollenhauer, Anat Mirelman, Roy Alcalay; Katherine Leaver, Marie Saint‐Hilaire, Ruth Schneider, Christopher Tarolli, Werner Poewe, Aleksandar Videnovic, David Standaert, Marissa Dean, Sonja Jonsdottir, Rejko Krueger, Claire Pauly, Stewart Factor, Penelope Hogarth, Robert Hauser, Amy Amara, Michelle Fullard, Cyrus Zabetian, Hubert Fernandez, Kathrin Brockmann, Isabel Wurster, Yen Tai, Paolo Barone, Marina Picillo, Stuart Isaacson, Alberto Espay, Eduardo Tolosa, Javier Ruiz Martinez, Leonidas Stefanis, Kelvin Chou, Lorraine Kalia, Connie Marras, David Grimes, Tiago Mestre, Rajesh Pahwa, Mark Lew, Holly Shill, Shyamal Mehta, Giulietta Riboldi, Nikolaus McFarland, Ron Postuma, Zoltan Mari, David Ledingham, Nicola Pavese, Michele Hu, Norbert Brueggemann, Christine Klein, Bastiaan Bloem, Cristina Simonet, Alastair Noyce, Anette Janzen, David Pedrosa, Wolfgang Oertel, Njideka Okubadejo, David Shprecher, Arjun Tarakad, Emile Moukheiber, Joy Antala, Carla Aranda, Karen Williams, Sophia Melton, Karina Benson, Ashwini Ramachandran, Danielle Potts, Grace LaMoure, Ritikha Vengadesh, Ryan Manzler, Jaime Heller, Primi Ranola, Farah Kausar, Sherri Mosovsky, Diana Willeke, Elizabeth Kalinkara Gomez, Janelle Rodriguez, Nobuko Kemmotsu, May Eshel, Deborah Raymond, Abigail Desrosiers, Raymond James, Lauren Jackson, Iris Egner, Wesley Schlett, Courtney Blair, Lauren Ruffrage, Berenice Sevilla, Barbara Sommerfeld, Dustin Le, Erica Botting, Gabriella Mazur, Daniele Derlein, Ying Liu, Ciera Cobb, Olivia Masiewicz, Jennifer Mule, Michael Morsillo, Ella Hilt, Lisbeth Pennente, Bobbie Stubbeman, Alicia Garrido, Valeria Ravasi, Ioana Croitoru, Christos Koros, Nikolas Papagiannakis, Frank Ferrari, Mengyu Zheng, Shawna Reddie, Alicia Alejandra, Andrea Gray, Alejandra Valenzuela, Caitlin Goodman, Sara Dresler, Neil Santos, Fahrial Esha, Kyle Rizer, Nadine Zablith, Liliana Dumitrescu, Debra Galley, Victoria Kate Foster, Jamil Razzaque, Madita Grümmer, Yara Krasowski, Elisabeth Sittig, Oluwadamilola Ojo, Kelly Clark, Rory Mahabir, Kori Ribb, Shamera Willoughby   +145 more
wiley   +1 more source

Iris-SAM: Iris Segmentation Using a Foundation Model

Iris segmentation is a critical component of an iris biometric system and it involves extracting the annular iris region from an ocular image. In this work, we develop a pixel-level iris segmentation model from a foundational model, viz., Segment Anything Model (SAM), that has been successfully used for segmenting arbitrary objects.
Parisa Farmanifard, Arun Ross
openaire   +2 more sources