Results 11 to 20 of about 12,701 (190)

Hybrid CNN-GCN framework for brain tumor MRI classification: A graph-based approach to smart healthcare diagnostics. [PDF]

J Appl Clin Med Phys
Abstract Background Accurate classification of brain tumors is a major challenge in neuro‐oncology, as the heterogeneity of tumor morphology and the overlap of radiological features limit the effectiveness of conventional diagnostic approaches. Early and reliable tumor characterization is essential for treatment planning, prognosis, and improved ...
Alkasasbeh MS, Ibnaouf KH, Ahmed NM, Rahman AA, Abbas DN, Al Tawil A, Idriss H, Alkasasbeh HT.   +7 more
europepmc   +2 more sources

Data-Driven Anomaly Control Detection for Railroad Lines Using Sobel Filter and VGG-16 Model, Res-Net50, InceptionV3

Journal Geuthee of Engineering and Energy, 2023
Rail inspection is essential to ensure the safety and performance of the rail system. In rail inspection, object detection is an important task to locate and identify damage or obstructions on the rail.
Adiratna Ciptaningrum, R. Akbar Nur Apriyanto, Dimas Nur Prakoso, R. Gaguk Pratama Yudha, Mohammad Erik Echsony   +4 more
doaj   +1 more source

Grouping of Image Patterns Using Inceptionv3 For Face Shape Classification

JOIV: International Journal on Informatics Visualization, 2023
The human face is an extraordinary part where nearly everybody is not quite the same as each other. One perspective that should be visible plainly is the shape. Face shape grouping can be used for amusement, security, or excellence.
Tonny Hidayat, Ika Asti Astuti, Ainul Yaqin, Alexander Phuk Tjilen, Teguh Arifianto   +4 more
doaj   +1 more source

Disease Detection on Rice Leaves through Deep Learning with InceptionV3 Method

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
The rate of growth in the agricultural sector in Indonesia puts pressure on people who work as farmers to maintain and improve the quality of agriculture. Rice, which is one of the basic needs of the community, is currently in high demand. Therefore, the
Aria Maulana, Muhammad Rivaldi Asyhari, Yufis Azhar, Vinna Rahmayanti Setyaning Nastiti   +3 more
doaj   +1 more source

Transfer Learning based Image Classification of Diseased Tomato Leaves with Optimal Fine-Tuning combined with Heat Map Visualization

Journal of Agricultural Sciences, 2023
Plant disease detection and disease classification at initial stages for sensitive commodities like tomatoes and potatoes is highly mandated as the harvest losses have a direct impact on the price fixation of the vegetables.
Sivakumar Palanıswamy, Vijayakumar Vaıthyam Rengarajan, Sandhya Devi Ramıah Subburaj   +2 more
doaj   +1 more source

Enhancing Skin Cancer Classification Using Optimized InceptionV3 Model

Journal Medical Informatics Technology, 2023
Skin cancer is a disease that starts in skin cells characterized by uncontrolled growth that can attack skin tissue. Although it has a high cure rate if treated in a timely manner, a delay in diagnosis can have serious consequences. The use of computer technology, especially Artificial Intelligence (AI), has played an important role in improving health
null Daniati Uki Eka Saputri, null Nurul Khasanah, Faruq Aziz, null Taopik Hidayat   +3 more
openaire   +1 more source

Использование модели нейронной сети глубокого обучения для решения проблем классификации нежелательного контента в социальных сетях

Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2021
При решении задач классификации с использование глубокого обучения сталкиваются с проблемой сходимости модели. Такая проблема возникает из за ограниченного объема данных в выборках.
Бобин, А.С.
doaj   +1 more source

Hybrid Deep Learning Model for Skin Cancer Classification [PDF]

E3S Web of Conferences
Skin cancer represents a significant public health concern worldwide, with melanoma accounting for its most lethal form. Timely identification and precise categorization of skin lesions play pivotal roles in enhancing treatment efficacy and fostering ...
Suneetha Irala
doaj   +1 more source

Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition [PDF]

, 2017
Despite the impressive progress brought by deep network in visual object recognition, robot vision is still far from being a solved problem. The most successful convolutional architectures are developed starting from ImageNet, a large scale collection of
Caputo, Barbara, Carlucci, FABIO MARIA, Colosi, Mirco, D'Innocente, Antonio   +3 more
core   +2 more sources

A Distributed Privacy Preserved Federated Learning Approach for Revolutionizing Pneumonia Detection in Isolated Heterogenous Data Silos [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Pneumonia is a respiratory lung contamination that ranges in severity from mild to lethal outcomes. The analysis of tomographic images is the most significant method of pneumonia detection.
Shagun Sharma, Kalpna Guleria
doaj   +1 more source