Identification of Polyps and Tumors from Endoscopy Images with Deep Belief Network | Chapter 5 | Research and Applications Towards Mathematics and Computer Science Vol. 6

 It has existed demonstrated that a successful figure processing approach can process real-time endoscopic videos to assist specialists in making critical conclusions about cancer patients. An productive diagnostic measure in gastrointestinal area is endoscopy, which us an endoscope with a camcorder and a transmitter which sends television frames. Using the existing software, the representations are taken from original-time endoscopic videos and fed into MATLAB for figure processing. The treated videos' output is then provided back into the host program. Image processing techniques have happened used to identify and advance the visualization of polyps in the gastro intestinal plan, which assists experts in making decisions. The system's goal search out let the specialist or medical practitioner visualize and recognize problematic constructions such as polyps and bleeding spots all the while endoscopic operations. This submitted approach is tested on a recorded gastrointestinal dataset that has ten series videos of 7894 frames.

Author(s) Details:

Nagesh B. S.,
Department of CSE, R. N. S. Institute of Technology, Bengaluru, India.

N. P. Kavya,
Department of CSE, R. N. S. Institute of Technology, Bengaluru, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V6/article/view/12524

Epidemiological, Clinical and Therapeutic Aspects of Orbital Diseases in Ophthalmologic Hospital of Saint André de Tinré (OHSAT), in Benin Republic: A Retrospective Study | Chapter 07 | Issues and Developments in Medicine and Medical Research Vol. 3

 Introduction: Orbital disorders are becoming a major problem around the world, especially in Benin. Their upper management is rarely available.

The goal of this study is to look at the epidemiological, clinical, and therapeutic aspects of orbital diseases in HOSAT.

Patients and Methods: This was a three-year retrospective study that took place in OHSAT from July 2012 to July 2015. In three years. A total of 143 patients suffering from orbital disorders were investigated.

Orbital abnormalities accounted for 0.3 percent of all eye illnesses, according to the findings. Male patients made up 60.8 percent of the total. Children under the age of 15 were the most numerous age group (40.6 percent ). Orbital pain (35.7 percent), inflammatory signs (35.2 percent), exophthalmia (30.1 percent), ptosis (12.8 percent), leucocoria (6.1 percent), and diplopia were the most common symptoms (4.6 percent ). Tumors accounted for 43.6 percent of the patients, while traumas, inflammatory illnesses, and dysthyroid orbitopathies accounted for 30.8 percent. In 21.7 percent of the cases, there was a suspicion of vascular disease (0.7 percent), and there was one case of congenital orbital abnormalities (0.7 percent ).

Conclusion: Although orbital disorders are uncommon, they pose challenges for diagnosis and effective treatment at OHSAT due to a number of issues related to a lack of proper technological facilities. Children under the age of 15 are the most affected of all age groups. Orbital tumours, orbital injuries, and inflammation are the most common causes.

Author(S) Details

C. R. A. Assavedo
Unité d’Enseignement et de Recherche en Ophtalmologie, Faculté de Médecine Université de Parakou, Bénin.

A. B. Amadou
Unité d’Enseignement et de Recherche en Ophtalmologie, Faculté de Médecine Université de Parakou, Bénin.

S. Monteiro
Unité d’Enseignement et de Recherche en Ophtalmologie, Faculté de Médecine Université de Parakou, Bénin.

E. Kinkpe
Unité d’Enseignement et de Recherche en Ophtalmologie, Faculté de Médecine Université de Parakou, Bénin.

I. Sounouvou
Unité d’Enseignement et de Recherche d’Ophtalmologie, Faculté des Sciences de la Santé de l’Université d’Abomey Calavi, Bénin.

S. Tchabi Hounnou
Unité d’Enseignement et de Recherche d’Ophtalmologie, Faculté des Sciences de la Santé de l’Université d’Abomey Calavi, Bénin.

C. Doutetien Gbaguidi
Unité d’Enseignement et de Recherche d’Ophtalmologie, Faculté des Sciences de la Santé de l’Université d’Abomey Calavi, Bénin.

View Book:- https://stm.bookpi.org/IDMMR-V3/article/view/5468