Retraction Note: Analyzing fibrous tissue pattern in fibrous dysplasia bone images using deep R-CNN networks for segmentation [PDF]
A. Saranya +3 more
openalex +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Advanced Intelligent Discovery, EarlyView.Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
Automated assessment of small bowel and colon cleansing in enteroscopy using a convolutional neural network. [PDF]
Endosc Int OpenMarílio Cardoso P +11 more
europepmc +1 more source
Lightweight CNN Architectures for Low-Cost Smart Cameras: A Comprehensive Technical Survey
IJCSIS
openalex +1 more source
Transfer Learning for Medical Imaging: An Empirical Evaluation of CNN Architectures on Chest Radiographs [PDF]
Harsh Santosh Salve
openalex +1 more source
Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images
Advanced Intelligent Discovery, EarlyView.We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman +10 more
wiley +1 more source
Model-Centric or Data-Centric Approach? A Case Study on the Classification of Surface Defects in Steel Hot Rolling Using Convolutional Neural Networks. [PDF]
Sensors (Basel)López de la Rosa F +4 more
europepmc +1 more source
Corpus of Online News Articles for Critical Discourse Analysis on CNN and RT
Abdur Rohim Ananda
openalex +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
Advanced Intelligent Discovery, EarlyView.AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
An efficient dual path deep learning framework for COVID-19 classification using lung CT scans with explainable AI. [PDF]
Sci RepRahat MMA +3 more
europepmc +1 more source