Results 41 to 50 of about 5,255 (193)

ELASTIC: Improving CNNs with Dynamic Scaling Policies

, 2019
Scale variation has been a challenge from traditional to modern approaches in computer vision. Most solutions to scale issues have a similar theme: a set of intuitive and manually designed policies that are generic and fixed (e.g. SIFT or feature pyramid)
Farhadi, Ali, Kembhavi, Aniruddha, Rastegari, Mohammad, Wang, Huiyu, Yuille, Alan   +4 more
core   +1 more source

Enhancing Skin Disease Diagnosis Through Fine-Tune Convolutional Neural Network: A Comparative Study with Multi-class Approach

Journal of ICT Research and Applications, 2023
Due to their similar appearance, skin disorders frequently disguise their early warning signs from our skin, which is the defense system of the body. Preventing serious disorders requires their early detection.
Najnin Akter Ringky, Abu Kowshir Bitto, Khalid Been Md. Badruzzaman Biplob, Md. Fazla Elahe, Musabbir Hasan Sammak, Tapushe Rabaya Toma   +5 more
doaj   +3 more sources

Recognition of Sugarcane Leaf Diseases in Complex Backgrounds Based on Deep Network Ensembles

智慧农业
[Objective]Sugarcane is an important cash crop, and its health status affects crop yields. However, under natural environmental conditions, the identification of sugarcane leaf diseases is a challenging problem.
MA Weiwei, CHEN Yue, WANG Yongmei
doaj   +1 more source

Development of a deep learning-based automatic detection model for gastroesophageal varices using transient elastography

Journal of Radiation Research and Applied Sciences
Background: and Purpose: This study investigates the application of deep learning in the early detection and risk assessment of gastroesophageal varices (GOV), focusing on non-invasive methods using transient elastography.
Jian-song Gao, Zi-xiang Kong, Shu-fang Wei, Fei Liang, Xiao-xiao Chen   +4 more
doaj   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

When Fat Goes Astray: Your Liver and Pancreas Get Into Trouble

Portal Hypertension &Cirrhosis, EarlyView.
Metabolic dysfunction‐associated steatotic liver disease (MASLD) and intrapancreatic fat deposition (IPFD) are both common manifestations of ectopic fat accumulation. Although they share multiple risk factors, they also show notable differences in pathological features, standardization of diagnosis, and research maturity.
Yuying Chen, Li Ding, Shan Zhao, Weihong Wang, Jing Zhong, Qiang Yan   +5 more
wiley   +1 more source

Enhancing Batik Classification Leveraging CNN Models and Transfer Learning

JOIV: International Journal on Informatics Visualization
Batik is a traditional art originating from Indonesia and recognized by UNESCO. Batik motifs vary depending on the region of origin. The diverse batik motifs reflect the rich cultural heritage and unique traditions owned by each region in Indonesia. From
Am Akbar Mabrur Perdana, Muhammad Fajar B, Abdul Muis Mappalotteng   +2 more
doaj   +1 more source

ANALISIS PERBANDINGAN METODE TRANSFER LEARNING DENSENET201 DAN VGG-19 TERHADAP PERFORMA KLASIFIKASI KUALITAS BUAH TOMAT [PDF]

Melakukan analisa kualitas khususnya pada bidang pertanian pada buah tomat menjadi salah satu aspek penting karena buah tomat merupakan salah satu buah yang hingga saat ini banyak digunakan untuk pengolahan pangan.
Sanjaya, Clairine Aurellia, Waluyo, Minto   +1 more
core   +2 more sources

DenseNet201-Based Waste Material Classification Using Transfer Learning Approach

Applied Mathematics and Computational Intelligence (AMCI)
This paper explores the application of deep learning models in waste material classification, motivated by the urgent need for efficient waste management practices to address environmental sustainability concerns. Drawing parallels with the success of deep learning in healthcare domains, the study investigates the effectiveness of various deep learning
Michael Tang, Kee Chuong Ting, Nur Hidayatullah Rashidi   +2 more
openaire   +1 more source