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DOAJ Open Access
ResViT HybridNet: a fusion of ResNet50 and Vision Transformer for banana leaf disease identification
Automatika, Vol 67, Iss 1, Pp 53-76 (2026) | ISSN: 1848-3380
Banana leaf diseases such as Cordana, Sigatoka, and Pestalotiopsis significantly reduce crop yield and quality, necessitating accurate and early detection for effective management. This study proposes ResViT HybridNet, a novel deep learning framework...
Jurnal Institusi
CNN-RNN Hybrid Model for Diagnosis of COVID-19 on X-Ray Imagery: Hybrid Model CNN-RNN untuk Diagnosis COVID-19 pada Citra X-Ray
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 14 No. 1 (2023): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi ; 57-67
Abstract
This research aims to implement deep learning in determining Covid-19 or normal cases using X-Ray imagery. The method used is CNN (ResNet50) and RNN (LSTM). The research phase begins with data collection, data preprocessing, method...
PubMed
Automatic identifying and counting blood cells in smear images by using single shot detector and Taguchi method
BMC Bioinformatics
BACKGROUND: Researchers have tried to identify and count different blood cells in microscopic smear images by using deep learning methods of artificial intelligence to solve the highly time-consuming problem. RESULTS: The three types of blood cells a...
PubMed
Improved food recognition using a refined ResNet50 architecture with improved fully connected layers
Curr Res Food Sci
Food consumption has significant effects on human health, particularly in relation to quality control, quantity, freshness, and color. This study focuses on identifying food across 16 categories, divided into breakfast, lunch, and dinner, to evaluate...
PubMed
Enhanced Watershed Segmentation Algorithm-Based Modified ResNet50 Model for Brain Tumor Detection
Biomed Res Int
This work delivers a novel technique to detect brain tumor with the help of enhanced watershed modeling integrated with a modified ResNet50 architecture. It also involves stochastic approaches to help in developing enhanced watershed modeling. Cancer...
PubMed
Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images
BMC Med Imaging
A recent global health crisis, COVID-19 is a significant global health crisis that has profoundly affected lifestyles. The detection of such diseases from similar thoracic anomalies using medical images is a challenging task. Thus, the requirement of...
PubMed
Multi-View Convolutional Neural Networks in Rupture Risk Assessment of Small, Unruptured Intracranial Aneurysms
J Pers Med
Auto-detection of cerebral aneurysms via convolutional neural network (CNN) is being increasingly reported. However, few studies to date have accurately predicted the risk, but not the diagnosis itself. We developed a multi-view CNN for the predictio...
PubMed
Enhancing the classification of spectrally similar land use/land cover classes using transfer learning in arid regions
Sci Rep
Accurate mapping of Land Use/ Land Cover (LULC) in arid and semi-arid areas is essential for managing urban planning, monitoring environmental risks, and preserving the ecosystem balance. Conventional classification techniques provide inaccurate mapp...
PubMed
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
Neural Comput Appl
Breast cancer is the second leading cause of death in women; therefore, effective early detection of this cancer can reduce its mortality rate. Breast cancer detection and classification in the early phases of development may allow for optimal therap...
PubMed
Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images
Sensors (Basel)
This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect various gastrointestinal diseases using a new ResNet50*-based deep feature engineering model with endoscopy images. The novelty of this work is the develop...
PubMed
A ResNet50-DPA model for tomato leaf disease identification
Front Plant Sci
Tomato leaf disease identification is difficult owing to the variety of diseases and complex causes, for which the method based on the convolutional neural network is effective. While it is challenging to capture key features or tends to lose a large...
PubMed
Diagnosis of focal liver lesions from ultrasound images using a pretrained residual neural network
J Appl Clin Med Phys
OBJECTIVE: This study aims to develop a ResNet50‐based deep learning model for focal liver lesion (FLL) classification in ultrasound images, comparing its performance with other models and prior research. METHODOLOGY: We retrospectively collected 5...
PubMed
Efficient geospatial mapping of buildings, woodlands, water and roads from aerial imagery using deep learning
PeerJ Comput Sci
As more aerial imagery becomes readily available, massive volumes of data are being gathered constantly. Several groups can benefit from the data provided by this geographical imagery. However, it is time-consuming to manually analyze each image to g...
PubMed
Tea disease identification based on ECA attention mechanism ResNet50 network
Front Plant Sci
Addressing the challenge of identifying tea plant diseases against the complex background of tea gardens, this study proposes the ECA-ResNet50 model. By optimizing the ResNet50 architecture, adopting a multi-layer small convolution kernel strategy to...
PubMed
Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification
Acad Radiol
RATIONALE AND OBJECTIVES: Diagnosis of breast cancer on MRI requires, first, the identification of suspicious lesions; second, the characterization to give a diagnostic impression. We implemented Mask Reginal-Convolutional Neural Network (R-CNN) to d...
PubMed
The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++
Sci Rep
This study aims to address the issues of accuracy and efficiency in sculpture image classification. Due to the diversity and complexity of sculpture images, traditional image processing algorithms perform poorly in capturing the sculptures’ intrica...
PubMed
Ultrasound-based DenseNet201 outperforms breast imaging reporting and data system and ResNet50 in predicting HER2 status in invasive breast cancer
Am J Transl Res
Objective: To evaluate the performance of ultrasound-based neural networks in predicting HER2 status in invasive breast cancer (IBC) patients, comparing DenseNet201, ResNet50, Breast Imaging Reporting and Data System (BI-RADS), and a multilayer perce...
PubMed
Design of lung nodules segmentation and recognition algorithm based on deep learning
BMC Bioinformatics
BACKGROUND: Accurate segmentation and recognition algorithm of lung nodules has great important value of reference for early diagnosis of lung cancer. An algorithm is proposed for 3D CT sequence images in this paper based on 3D Res U-Net segmentation...
PubMed
A method for detecting the quality of cotton seeds based on an improved ResNet50 model
PLoS One
The accurate and rapid detection of cotton seed quality is crucial for safeguarding cotton cultivation. To increase the accuracy and efficiency of cotton seed detection, a deep learning model, which was called the improved ResNet50 (Impro-ResNet50), ...
PubMed
Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism
Tomography
Background: The accurate classification between malignant and benign breast lesions detected on mammograms is a crucial but difficult challenge for reducing false-positive recall rates and improving the efficacy of breast cancer screening. Objective:...