Results 21 to 30 of about 2,449,137 (268)

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
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

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
doaj   +1 more source

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

Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN

IEEE Access, 2019
Skeletal bone age assessment based on hand x-ray is widely used in many fields. There is an urgent need for automated method to alleviate manual labor and address the problem of intra- and inter-observer variability.
Bo Liu, Yu Zhang, Meicheng Chu, Xiangzhi Bai, Fugen Zhou   +4 more
doaj   +1 more source

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential

IEEE Access, 2019
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium.
Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng   +7 more
doaj   +1 more source

Utility of Computed Tomography Surveillance of Asymptomatic Infection in Children and Young Adults Before Allogeneic Hematopoietic Stem Cell Transplant

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark, Pradipta Debnath, Rama S. Ayyala, Lara A. Danziger‐Isakov, Jane Koo, Kasiani C. Myers, William R. Otto, Aki Tanimoto, Andrew T. Trout, Cara E. Morin   +9 more
wiley   +1 more source