Results 51 to 60 of about 12,701 (190)

Semantic segmentation of in-field cotton bolls from the sky using deep convolutional neural networks

Smart Agricultural Technology, 2022
Manually picking of cotton bolls is a tedious, costly, and labor-intensive task, while harvesting using machines results in higher harvesting losses. By keeping selective picking in mind to maintain fiber quality, minimize harvesting losses, and tackle ...
Naseeb Singh, V.K. Tewari, P.K. Biswas, L.K. Dhruw, C.M. Pareek, H. Dayananda Singh   +5 more
doaj   +1 more source

A High‐Throughput Phenotyping Pipeline for Quinoa (Chenopodium quinoa) Panicles Using Image Analysis With Convolutional Neural Networks

Plant Breeding, EarlyView.
ABSTRACT Quinoa is a grain crop with excellent nutritional properties that has attracted global attention for its potential contribution to future food security in a changing climate. Despite its long history of cultivation, quinoa has been improved little by modern breeding and is a niche crop outside its native cultivation area.
Flavio Lozano‐Isla, Lydia Kienbaum, Bettina I. G. Haussmann, Karl Schmid   +3 more
wiley   +1 more source

Automated Tuberculosis Detection in Chest Radiographs: A Hybrid Deep Learning Framework for Clinical Decision Support

Applied AI Letters, Volume 7, Issue 2, June 2026.
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain, Hrittik Mural, Monowar Wadud Hridoy   +2 more
wiley   +1 more source

His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models

Advanced Science, Volume 13, Issue 19, 2 April 2026.
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li, Tianqi Su, Bin Zhang, Wenkai Han, Sibin Zhang, Guiyin Sun, Yuwei Cong, Xin Chen, Jiping Qi, Yujie Wang, Shiguang Zhao, Hongxue Meng, Peng Liang, Xin Gao   +13 more
wiley   +1 more source

Image quality classification algorithm based on InceptionV3 and SVM [PDF]

MATEC Web of Conferences, 2019
In this work we investigate the use of deep learning for image quality classification problem. We use a pre-trained Convolutional Neural Network (CNN) for image description, and the Support Vector Machine (SVM) model is trained as an image quality ...
Li Yu, Liu Lizhuang
doaj   +1 more source

Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

Advanced Intelligent Discovery, Volume 2, Issue 2, April 2026.
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar, Gözde Kabay, Matthias Franzreb, Kody Whisnant, Nicholas A. Kotov, Joerg Lahann   +5 more
wiley   +1 more source

Penerapan Blok SE-NET Pada Deep Learning Inceptionv3 untuk Meningkatkan Deteksi Penyakit Mpox pada Manusia

Jurnal Teknologi Informasi dan Ilmu Komputer
Mpox atau cacar monyet adalah penyakit yang disebabkan oleh virus monkeypox. Penelitian terdahulu membuktikan sudah tersedia beberapa pre-trained model yang terbukti mampu mendeteksi penyakit mpox dengan menggunakan dataset MSLD (Monkeypox Skin Lesion ...
M. Bakhara Alief Rachman, Aliyah Kurniasih, Andika Sundawijaya, Ahlijati Nuraminah   +3 more
doaj   +3 more sources

Artificial Intelligence in Dental Treatment Planning and Diagnostic Decision‐Making: A Systematic Review and Meta‐Analysis

Clinical and Experimental Dental Research, Volume 12, Issue 2, April 2026.
ABSTRACT Objectives This systematic review and meta‐analysis aimed to synthesize the available evidence on the use of AI in dental diagnostic decision‐making and treatment planning, evaluating both diagnostic accuracy and its influence on clinical decision‐making across different dental specialties and imaging modalities. Methods A comprehensive search
Mohammad Alabdulkareem, Momen Atieh, Ammar AbuMostafa, Khaled Aldalaan, Nada Alturki   +4 more
wiley   +1 more source

Automatic bone age assessment: a Turkish population study

Diagnostic and Interventional Radiology
PURPOSE: Established methods for bone age assessment (BAA), such as the Greulich and Pyle atlas, suffer from variability due to population differences and observer discrepancies.
Samet Öztürk, Murat Yüce, Gül Gizem Pamuk, Candan Varlık, Ahmet Tan Cimilli, Musa Atay   +5 more
doaj   +1 more source

Deepfake Detection using Deep Learning with InceptionV3

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Deepfake technology has rapidly evolved, making it increasingly difficult to distinguish between real and manipulated videos. This poses serious risks, including misinformation, identity theft, and digital forgery. To address this challenge, we propose a deep learning-based deepfake detection model that leverages InceptionResNetV2, a hybrid ...
K. Cheritha, S. Akhil, V. Bhanu Prakash, A. Akhil Reddy   +3 more
openaire   +1 more source