Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Faliang Chang"'
Publikováno v:
IET Image Processing, Vol 15, Iss 7, Pp 1530-1541 (2021)
Abstract It can be a very challenging task when using level set method segmenting natural images with high intensity inhomogeneity and complex background scenes. A new synthesis level set method for robust image segmentation based on the combination
Externí odkaz:
https://doaj.org/article/cd7bce297ff844f3b900668a71f525e2
Publikováno v:
IEEE Access, Vol 9, Pp 21236-21250 (2021)
An adversarial reinforced report-generation framework for chest x-ray images is proposed. Previous medical-report-generation models are mostly trained by minimizing the cross-entropy loss or further optimizing the common image-captioning metrics, suc
Externí odkaz:
https://doaj.org/article/bb739072aad0492b871a592e96848a55
Publikováno v:
IEEE Access, Vol 8, Pp 228853-228862 (2020)
To enhance surgeons' efficiency and safety of patients, minimally invasive surgery (MIS) is widely used in a variety of clinical surgeries. Real-time surgical tool detection plays an important role in MIS. However, most methods of surgical tool detec
Externí odkaz:
https://doaj.org/article/dc8c76ddc94b4861b8f7b1abd597d5f7
Publikováno v:
IEEE Access, Vol 8, Pp 78193-78201 (2020)
Robot-assisted surgery (RAS), a type of minimally invasive surgery, is used in a variety of clinical surgeries because it has a faster recovery rate and causes less pain. Automatic video analysis of RAS is an active research area, where precise surgi
Externí odkaz:
https://doaj.org/article/8d32d2bb09274c81885ba836180dd832
Publikováno v:
IEEE Access, Vol 7, Pp 69795-69807 (2019)
Bearing fault diagnosis is an important technique in industrial production as bearings are one of the key components in rotating machines. In bearing fault diagnosis, complex environmental noises will lead to inaccurate results. To address the proble
Externí odkaz:
https://doaj.org/article/b9c79235e6884cc6b68bf5399fdbed9e
Publikováno v:
IEEE Access, Vol 7, Pp 86578-86596 (2019)
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign detection (TSD) is a challenging problem because of different types, s
Externí odkaz:
https://doaj.org/article/4cd5c9aec1fc4c0d971a1bf874bc8de5
Publikováno v:
IEEE Access, Vol 6, Pp 5641-5653 (2018)
Due to the scattering of atmospheric particles, images captured under hazy conditions suffer from contrast attenuation and color distortion, which severely affect the performance of machine vision systems. Various types of methods have been developed
Externí odkaz:
https://doaj.org/article/eea2cc2c7ba4418f8ccff90116378321
Publikováno v:
Healthcare Technology Letters (2019)
Surgical instrument detection in robot-assisted surgery videos is an import vision component for these systems. Most of the current deep learning methods focus on single-tool detection and suffer from low detection speed. To address this, the authors
Externí odkaz:
https://doaj.org/article/b2b63b4a8bdb4ba594bdc26563a7cded
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1760 (2020)
With the advantage of high maneuverability, Unmanned Aerial Vehicles (UAVs) have been widely deployed in vehicle monitoring and controlling. However, processing the images captured by UAV for the extracting vehicle information is hindered by some cha
Externí odkaz:
https://doaj.org/article/47d4a902d7804e199ea393fb7149b11f
Publikováno v:
Sensors, Vol 19, Iss 12, p 2671 (2019)
You Only Look Once (YOLO) deep network can detect objects quickly with high precision and has been successfully applied in many detection problems. The main shortcoming of YOLO network is that YOLO network usually cannot achieve high precision when d
Externí odkaz:
https://doaj.org/article/4679f7135ee1454c893df8a47d92fb79