Results 111 to 120 of about 2,018,951 (327)

Large Scale Image Classification of Exotic Fruits in Indonesia Using Transfer Learning Method with MobileNet Model [PDF]

, 2023
Asyora Dewi Prabandani, Novanto Yudistira, Ayu Raisa Khairun Nisa’   +2 more
openalex   +1 more source

Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells

Molecular Oncology, EarlyView.
We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller, Susanne Ebner, Carmen Haselrieder, Julia K. Günther, Astrid Drasche, Sophie Strich, Chiara Volani, Andrea Medici, Aleksandar Nikolajevic, Alex Deltedesco, Johannes E. Sigmund, Michael J. Blumer, Martin Hermann, Johanna Vanacker, Gerald Brandacher, Eduard Stefan, Omar Torres‐Quesada, Jakob Troppmair   +17 more
wiley   +1 more source

No-reference image quality metric based on image classification

EURASIP Journal on Advances in Signal Processing, 2011
In this article, we present a new no-reference (NR) objective image quality metric based on image classification. We also propose a new blocking metric and a new blur metric.
Choi Hyunsoo, Lee Chulhee
doaj  

Implementation of Deep Convolutional Neural Network in Multi-class\n Categorical Image Classification [PDF]

, 2018
P. P. Murugan
openalex   +1 more source

Breast cancer segmentation and classification in ultrasound images using convolutional neural network [PDF]

, 2021
Shima Baniadam Dizaj, Pourya Valizadeh
openalex   +1 more source

Monitoring of circulating tumor DNA allows early detection of disease relapse in patients with operable breast cancer

Molecular Oncology, EarlyView.
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad, Marie Austdal, Oddmund Nordgård, Gunnar Mellgren, Satu Oltedal, Marie L. Austbø, Ylva H. Vignes, Thomas Helland, Kristin Jonsdottir, Tone H. Lende, Emilius A. M. Janssen, Bjørnar Gilje, Kjersti Tjensvoll, PBCB study group, Gunnar Mellgren, Tone Hoel Lende, Anette Heie, Kristin Viste, Anita Røyneberg Alvheim, Emiel AM Janssen, Kristin Jonsdottir, Ann Cathrine Kroksveen, Thomas Helland, Einar Gudlaugsson, Oddmund Nordgård, Satu Oltedal, Kristin Løge Aanestad, Jan Terje Kvaløy, Kirsten Lode, Kari Britt Hagen, Marie Austdal, Ylva H. Vignes, Siri Tungland Sola, Nina Egeland Amundsen, Finn Magnus Eliassen, Emeritus Ernst A Lien   +35 more
wiley   +1 more source

Chest X-Rays Image Classification in Medical Image Analysis

Applied Medical Informatics, 2018
Chest X-Rays image classification is an active research area in medical image analysis as well as computer-aided diagnosis for radiology. The main goal is to improve the quality and productivity of radiologists’ task by providing a computer system for ...
Taufik RAHMAT, Azlan ISMAIL, Sharifah ALIMAN   +2 more
doaj  

Comparison of radiated noise classification methods for underwater targets based on different enhanced images and convolutional neural networks

Advances in Mechanical Engineering
With the continuous development of economy and society, factors such as the variety of underwater targets and the high level of environmental noise have a great impact on the classification accuracy of underwater target radiation noise, and the ...
Lei Zhufeng, Wang Jialei, Guo Yanlan, Lei Xiaofang, Zhou Chuanghui   +4 more
doaj   +1 more source

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images [PDF]

, 2018
Zhoubing Xu, Yuankai Huo, JinHyeong Park, Bennett A. Landman, Andy Milkowski, Saša Grbić, S. Kevin Zhou   +6 more
openalex   +1 more source

LINC01116, a hypoxia‐lncRNA marker of pathological lymphangiogenesis and poor prognosis in lung adenocarcinoma

Molecular Oncology, EarlyView.
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola, Rafael Lopes Goncalves, Marin Truchi, Caroline Lacoux, Célia Scribe, Hugo Cadis, Laetitia Guardini, Sophie Bekisz, Marius Ilié, Paul Hofman, Georges Vassaux, Bernard Mari, Roger Rezzonico   +12 more
wiley   +1 more source