Results 31 to 40 of about 11,989,428 (290)

DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars

Remote Sensing, 2020
Mapping planetary surfaces is an intricate task that forms the basis for many geologic, geomorphologic, and geographic studies of planetary bodies. In this work, we present a method to automate a specific type of planetary mapping, geomorphic mapping ...
Thorsten Wilhelm, Melina Geis, Jens Püttschneider, Timo Sievernich, Tobias Weber, Kay Wohlfarth, Christian Wöhler   +6 more
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Hiding Images within Images [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
We present a system to hide a full color image inside another of the same size with minimal quality loss to either image. Deep neural networks are simultaneously trained to create the hiding and revealing processes and are designed to specifically work as a pair.
openaire   +2 more sources

Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on Transparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers

Applied Sciences, 2022
Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang, Xin Zhao, Tao Jiang, Jinghua Zhang, Peng Zhao, Ao Chen, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li   +9 more
doaj   +1 more source

Weighted Direct Nonlinear Regression for Effective Image Interpolation

IEEE Access, 2019
This paper proposes a learning-based image interpolation method based on weighted direct nonlinear regression. It attempts to learn the nonlinear relationship between the low-resolution patches and their corresponding high-resolution patches by using an ...
Jieying Zheng, Wanru Song, Yahong Wu, Feng Liu   +3 more
doaj   +1 more source

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification

IEEE Access, 2020
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis.
Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun   +9 more
doaj   +1 more source

Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems

Sensors, 2023
As the field of routine pathology transitions into the digital realm, there is a surging demand for the full automation of microscope scanners, aiming to expedite the process of digitizing tissue samples, and consequently, enhancing the efficiency of ...
Dániel Küttel, László Kovács, Ákos Szölgyén, Róbert Paulik, Viktor Jónás, Miklós Kozlovszky, Béla Molnár   +6 more
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Tuberculosis presenting as Anterior Mediastinal Mass: A Case Report

Journal of Nepal Medical Association
The mediastinum, located between the pleural sacs, has three compartments. The anterior mediastinum spans anteriorly from the sternum to the pericardium and brachiocephalic vessels posteriorly.
Simran Pradhan, Image Khadka
doaj   +1 more source

Comment concevoir des continuités écologiques en milieu urbain ? [PDF]

Sciences, Eaux & Territoires, 2016
Les espaces de nature en ville sont porteurs de l’amélioration de la qualité de vie en milieu urbain. En 2014, la ville de Strasbourg a initié un projet d’identification et de construction d’un tissu naturel urbain mettant en connexion les espaces de ...
SCHWOERTZIG, Eugénie, HECTOR, Adine, KAEMPF, Stéphanie, TRÉMOLIÈRES, Michèle, TRÉMOLIÈRES, Michèle   +4 more
doaj  

BID: An Effective Blind Image Deblurring Scheme to Estimate the Blur Kernel for Various Scenarios

IEEE Access, 2020
In recent years, image deblurring has been widely investigated. In order to solve this ill-posed problem, a variety of prior models have been proposed successively.
Hong Zhang, Yawei Li, Yujie Wu, Zeyu Zhang   +3 more
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A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

IEEE Access, 2020
Breast cancer is one of the most common and deadliest cancers among women. Since histopathological images contain sufficient phenotypic information, they play an indispensable role in the diagnosis and treatment of breast cancers. To improve the accuracy
Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Qian Wang, Yong Zhang, Mo Li, Xiaoyan Li, Tao Jiang, Dan Xue, Shouliang Qi, Yueyang Teng   +13 more
doaj   +1 more source