Search: Faster R-CNN — Academic Articles

Bone fracture detection through the two-stage system of Crack-Sensitive Convolutional Neural Network

Yangling Ma, Yixin Luo • Informatics in Medicine Unlocked (2021)

Automated fracture detection is an essential part in a computer-aided tele-medicine system. Fractures often occur in human's arbitrary bone due to accidental injuries such as slipping. In fact, many hospitals lack experienced surgeons to di...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.imu.2020.100452

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DEEP LEARNING-BASED DOOR AND WINDOW DETECTION FROM BUILDING FAÇADE

G. Sezen, M. Cakir, M. E. Atik, Z. Duran • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)

Detecting building façade elements is a crucial problem in computer vision for image interpretation. In Building Information Modeling (BIM) studies, the detection of building façade elements has an important role. BIM is a tool that allows ...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIII-B4-2022-315-2022

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Image-based cotton leaf disease diagnosis using YOLO and faster R-CNN techniques

S. Chinnadurai, S. Selvakumar • Scientific Reports (2025)

Abstract Cotton has, in recent years, become one of the most important cash crops worldwide while being impacted in yield from leaf disease which generally goes unnoticed in the early stage. Detection methods depend on manual efforts produc...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-28549-7

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Academic Articles & Research Papers

Bone fracture detection through the two-stage system of Crack-Sensitive Convolutional Neural Network

DEEP LEARNING-BASED DOOR AND WINDOW DETECTION FROM BUILDING FAÇADE

Image-based cotton leaf disease diagnosis using YOLO and faster R-CNN techniques