A new intelligent system based deep learning to detect DME and AMD in OCT images.

Optical Coherence Tomography (OCT) is widely recognized as the leading modality for assessing ocular retinal diseases, playing a crucial role in diagnosing retinopathy while maintaining a non-invasive modality. The increasing volume of OCT images underscores the growing importance of automating image analysis. Age-related diabetic Macular Degeneration (AMD) and Diabetic Macular Edema (DME) are the most common cause of visual impairment.

Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning.

Diabetic macular edema (DME) and age-related macular degeneration (AMD) are two common eye diseases. They are often undiagnosed or diagnosed late. This can result in permanent and irreversible vision loss.

Outcomes of transconjunctival 23-gauge vitrectomy for diabetic tractionnal retinal detachment.

Introduction: The transconjunctival 23-gauge vitrectomy without sutures (VTCSS) combines the advantages of the 20 and 25-gauge system. It currently represents the gold standard for the surgical management of vitreoretinal pathologies, especially in diabetic patients.

Aim: Evaluate the anatomical and functional results of the VTCSS 23 gauge in diabetic tractionnal retinal detachment (DRT).

[Management of ovarian cyst associated to pregnancy].

Background: The problem of the association of the ovarian cyst and pregnancy is to determine whether the cyst is functional or organic?

Aim: To draw up the epidemiological profile of the patients having a cyst of the ovary, show the peculiarities of this association; and to clarify the therapeutic methods and its effects on the progress of the pregnancy.

Methods: A retrospective study concerning a period of 5 years and interesting 25 patients.

Results: The average age of the patients was of 34 years, the average parity was of 2.