Results 11 to 20 of about 6,287 (187)

GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare systems. However, processing large amounts of medical image data can be challenging for radiologists and other medical professionals, increasing the risk ...
Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, Nouf Abdullah Almujally, Muhammad Aslam, Syeda Fizzah Jilani   +5 more
wiley   +1 more source

An efficient deep learning model for brain tumour detection with privacy preservation

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman, Arslan Shafique, Imdad Ullah Khan, Yazeed Yasin Ghadi, Jawad Ahmad, Mohammed S. Alshehri, Mimonah Al Qathrady, Majed Alhaisoni, Muhammad H. Zayyan   +8 more
wiley   +1 more source

Panel defect detection algorithm based on improved Faster R-CNN

Dianzi Jishu Yingyong, 2022
In view of the low precision and low efficiency of panel surface defect detection, this paper proposes an optimized defect detection algorithm based on Faster R-CNN.
Chen Wanqin, Tang Qingshan, Huang Tao
doaj   +1 more source

Deep Transfer Learning Networks for Brain Tumor Detection: The Effect of MRI Patient Image Augmentation Methods

International Journal of Electronics and Communications System, 2022
The exponential growth of deep learning networks has enabled us to handle difficult tasks, even in the complex field of medicine with small datasets. In the sphere of treatment, they are particularly significant.
Peshraw Ahmed Abdalla, Abdalbasit Mohammed Qadir, Omed Jamal Rashid, Karwan M. Hama Rawf, Ayub O Abdulrahman, Bashdar Abdalrahman Mohammed   +5 more
doaj   +1 more source

Detection of brain tumor with a pre-trained deep learning model based on feature selection using MR images

Firat University Journal of Experimental and Computational Engineering, 2023
One of the most dangerous diseases in the world is a brain tumor. A brain tumor destroys healthy tissue in the brain and then multiplies abnormally, causing increased internal pressure in the skull. This can lead to death if not diagnosed early. Magnetic
Fatih Demir, Berna Arı, Kürşat Demir
doaj   +1 more source

Pengenalan Jamur Yang Dapat Dikonsumsi Menggunakan Metode Transfer Learning Pada Convolutional Neural Network

Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2021
Not all mushrooms are edible because some are poisonous. The edible or poisonous mushrooms can be identified by paying attention to the morphological characteristics of mushrooms, such as shape, color, and texture.
Elok Iedfitra Haksoro, Abas Setiawan
doaj   +1 more source

JutePestDetect: An intelligent approach for jute pest identification using fine-tuned transfer learning

Smart Agricultural Technology, 2023
In certain Asian countries, Jute is one of the primary sources of income and Gross Domestic Product (GDP) for the agricultural sector. Like many other crops, Jute is prone to pest infestations, and its identification is typically made visually in ...
Md. Simul Hasan Talukder, Mohammad Raziuddin Chowdhury, Md Sakib Ullah Sourav, Abdullah Al Rakin, Shabbir Ahmed Shuvo, Rejwan Bin Sulaiman, Musarrat Saberin Nipun, Muntarin Islam, Mst Rumpa Islam, Md Aminul Islam, Zubaer Haque   +10 more
doaj   +1 more source

Intelligent defect detection in electroluminescence images of photovoltaic modules using MobileNetV2 [PDF]

BIO Web of Conferences
With the rapid growth of the photovoltaic (PV) industry, fast and accurate defect-detection techniques are becoming increasingly important. Manual inspection of PV modules using electroluminescence (EL) imaging is time-consuming and prone to errors. This
Benjelloul Inasse, Bouali Hicham
doaj   +1 more source

Face Mask Detection System using Mobilenetv2

International Journal of Engineering and Advanced Technology, 2021
In this pandemic, it is getting more and more difficult to keep a track of people who are wearing masks regularly or not. It cannot solely depend on human efforts to take care of this task and therefore there is a need to develop software that can automatically detect whether any given person is wearing a mask or not.
Mayank Arora, Sarthak Garg, Srivani A.
openaire   +1 more source

MobileNetV2: Inverted Residuals and Linear Bottlenecks [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes. We also describe efficient ways of applying these mobile models to object detection in a novel framework we call SSDLite.
Sandler, Mark, Howard, Andrew, Zhu, Menglong, Zhmoginov, Andrey, Chen, Liang-Chieh   +4 more
openaire   +2 more sources