scholarly journals Simultaneous reconstruction of complete upper and lower lip defects in a child using a vertically split delayed pedicled deltopectoral flap

2020 ◽  
Vol 61 ◽  
pp. 101589
Author(s):  
Shashikant V. Agarwal ◽  
Riaz Y. Seedat
1970 ◽  
Vol 6 (3) ◽  
pp. 375-378
Author(s):  
S Maharjan ◽  
M Bista ◽  
KC Toran ◽  
KD Joshi

A 38 year old gentleman presented with recurrent Squamos cell carcinoma of lower lip. He had earlier undergone previous surgeries and radiotherapy. At the time that he presented in KMCTH his lower lip area was much scarred and the tongue was shrunk and unavailable for vermilion reconstruction. This case report is an account of the various treatment carried out to reconstruct the lip. It was done with co-operation of the ENT department. Key words: Recurrent squamous cell carcinoma, Gillies fan flap, Deltopectoral flap, Delay of flaps doi: 10.3126/kumj.v6i3.1715 Kathmandu University Medical Journal (2008), Vol. 6, No. 3, Issue 23, 375-378


Skin Cancer ◽  
2016 ◽  
Vol 31 (1) ◽  
pp. 6-9
Author(s):  
Michiko SAKAKIBARA ◽  
Nozomi YOKOYAMA ◽  
Akihiro SATOU ◽  
Noriyuki SUZUKI ◽  
Motohito YAMADA

2018 ◽  
Vol 142 (5) ◽  
pp. 1307-1317 ◽  
Author(s):  
Jerry Tsung-Kai Lin ◽  
Johnny Chuieng-Yi Lu ◽  
Tommy Nai-Jen Chang ◽  
David Chwei-Chin Chuang

1970 ◽  
Vol 101 (2) ◽  
pp. 241-244 ◽  
Author(s):  
L. M. Solomon
Keyword(s):  

2014 ◽  
Vol 30 (S 01) ◽  
Author(s):  
A. Gundeslioglu ◽  
Dem Özen ◽  
Lorenc Jasharllari ◽  
Nebil Selimolu ◽  
Figen Güney ◽  
...  

Author(s):  
So-Hee Choi ◽  
Do Hyun Kim ◽  
Bo-Young Kim

2019 ◽  
Vol 70 (3) ◽  
pp. 184-192
Author(s):  
Toan Dao Thanh ◽  
Vo Thien Linh

In this article, a system to detect driver drowsiness and distraction based on image sensing technique is created. With a camera used to observe the face of driver, the image processing system embedded in the Raspberry Pi 3 Kit will generate a warning sound when the driver shows drowsiness based on the eye-closed state or a yawn. To detect the closed eye state, we use the ratio of the distance between the eyelids and the ratio of the distance between the upper lip and the lower lip when yawning. A trained data set to extract 68 facial features and “frontal face detectors” in Dlib are utilized to determine the eyes and mouth positions needed to carry out identification. Experimental data from the tests of the system on Vietnamese volunteers in our University laboratory show that the system can detect at realtime the common driver states of “Normal”, “Close eyes”, “Yawn” or “Distraction”


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