Results 81 to 90 of about 39,255 (224)

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy

BJU International, EarlyView.
Objective To develop and validate a deep learning model for interpretation of fluorescence confocal microscopy (FCM) images for intraoperative surgical margin assessment during radical prostatectomy (RP). Patients and Methods Fluorescence confocal microscopy images from the multicentre Imperial Prostate 8‐Fluorescence Confocal Microscopy for Rapid ...
Lixiang Fang, Nikhil Mayor, Alexander Light, Anna Silvanto, Aiman Haider, Chase Ng, Archana Gopalakrishnan, Ranil Johann Boaz, Mariana Bertoncelli Tanaka, Bijan Khoubehi, Giles Hellawell, Ricardo Almeida‐Magana, Larissa Mendes, Eoin Dinneen, Greg Shaw, Ben Challacombe, Paul Cathcart, Martin J. Connor, Taimur T. Shah, Hashim U. Ahmed, Francesca Fiorentino, Stamatia Giannarou, Mathias Winkler   +22 more
wiley   +1 more source

Identification of Mind Awareness from EDA signals using Wavelet based ResNet50 model

Current Directions in Biomedical Engineering
The analysis of spontaneous mind wandering is crucial for comprehending an individual mental state and holds the potential to enhance performance and productivity.
Chappidi Sriram Kalyan, Palanisamy Rohini   +1 more
doaj   +1 more source

PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement

Computer Graphics Forum, EarlyView.
We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang, Tianhan Wu, Kyle Fogarty, Fangcheng Zhong, Cengiz Oztireli   +4 more
wiley   +1 more source

Automatic Polyp Segmentation using U-Net-ResNet50

, 2020
Polyps are the predecessors to colorectal cancer which is considered as one of the leading causes of cancer-related deaths worldwide. Colonoscopy is the standard procedure for the identification, localization, and removal of colorectal polyps. Due to variability in shape, size, and surrounding tissue similarity, colorectal polyps are often missed by ...
Alam, Saruar, Tomar, Nikhil Kumar, Thakur, Aarati, Jha, Debesh, Rauniyar, Ashish   +4 more
openaire   +2 more sources

A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains

Cytopathology, EarlyView.
Transformer‐based unified cytology segmentation across Papanicolaou, Feulgen and AgNOR achieves stain‐invariant performance. Mask2Former maximises boundary precision (AP75) on the combined dataset, enabling one model to replace multiple stain‐specific deployments without accuracy loss while simplifying clinical integration.
Luís Otávio Santos, Rodrigo de Paula E. Silva Ribeiro, Bibiana Quatrin Tiellet, Laura Maria Effting Silva, Fabiana Botelho de Miranda Onofre, Alexandre Sherlley Casimiro Onofre, Aldo von Wangenheim   +6 more
wiley   +1 more source

Classification of Bitter gourd leaf disease using deep learning architecture ResNet50

IJAIN (International Journal of Advances in Intelligent Informatics)
The primary goal of this research is to develop a feasible and efficient method for identifying the disease and to advocate for an appropriate system that provides an early and cost-effective solution to this problem.
Artika Artika, Wikky Fawwaz Al Maki
doaj   +1 more source

Artificial Intelligence in the Detection of Clinically Negotiable Second Mesio‐Buccal Canals in Periapical Images of Maxillary Molars

International Endodontic Journal, EarlyView.
ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Jane Lee, Noreen Ramzy, Alan S. Law, Ernest W. N. Lam, Asma Ahmed Khan, Ali Nosrat   +8 more
wiley   +1 more source

Comparative Analysis of VGG16 and ResNet50 Model Performence in Cardiac ECG Image Classification

Journal of Applied Informatics and Computing
This study systematically evaluates and compares the effectiveness of two deep learning architectures, VGG16 and ResNet50, in automating electrocardiogram (ECG) image classification for cardiac condition diagnosis.
Hanif Rizaqi, Imam Tahyudin
doaj   +1 more source

Mamba‐Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata

International Endodontic Journal, EarlyView.
ABSTRACT Aim Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical metadata, limiting diagnostic performance and applicability.
Jiyun Lee, Yudam Park, Sunil Kim, Ikbeom Jang   +3 more
wiley   +1 more source

Non-destructive classification of sugarcane milling feasibility using deep learning: A comparative study of VGG19 and ResNet50

IJAIN (International Journal of Advances in Intelligent Informatics)
Assessing sugarcane quality is crucial for ensuring both economic value and processing efficiency in sugar production. Conventional approaches, such as refractometer-based Brix measurements, are destructive, labor-intensive, and unsuitable for large ...
Nur Indrianti, Raden Achmad Chairdino Leuveano, Heru Cahya Rustamaji, Andrey Ferriyan, Panut Mulyono, Bayu Prasetya Wijaya   +5 more
doaj   +1 more source