METHODS: In this paper, we analyze four wide-spread deep learning models designed for the segmentation of three retinal fluids outputting dense predictions in the RETOUCH challenge data. We aim to demonstrate how a patch-based approach could push the performance for each method. Besides, we also evaluate the methods using the OPTIMA challenge dataset for generalizing network performance. The analysis is driven into two sections: the comparison between the four approaches and the significance of patching the images.

RESULTS: The performance of networks trained on the RETOUCH dataset is higher than human performance. The analysis further generalized the performance of the best network obtained by fine-tuning it and achieved a mean Dice similarity coefficient (DSC) of 0.85. Out of the three types of fluids, intraretinal fluid (IRF) is more recognized, and the highest DSC value of 0.922 is achieved using Spectralis dataset. Additionally, the highest average DSC score is 0.84, which is achieved by PaDeeplabv3+ model using Cirrus dataset.

OBJECTIVES: This study investigated the effects of fish oil supplementation on cognitive function in elderly person with MCI.

METHODS: This was a 12-month, randomised, double-blind, placebo-controlled study using fish oil supplementation with concentrated docosahexaenoic acid (DHA). Thirty six low-socioeconomic-status elderly subjects with MCI were randomly assigned to receive either concentrated DHA fish oil (n = 18) or placebo (n = 18) capsules. The changes of memory, psychomotor speed, executive function and attention, and visual-constructive skills were assessed using cognitive tests. Secondary outcomes were safety and tolerability of the DHA concentrate.

MATERIALS AND METHODS: This cross-sectional study involved 168 women diagnosed with breast cancer. The inclusion criteria were age >18 years old, having histologically confirmed breast cancer, and being diagnosed between January 1, 2009 to December 31, 2012. The exclusion criteria were being illiterate and having cognitive impairment. For data collection patients' medical records and the Cancer Behaviour Inventory-Brief (CBI-B) Malay version questionnaire were used. Simple and multiple logistic regression methods were used to analyse the data.

RESULTS: Patients' mean (SD) age was 51.4 (10.8) years old. Most of the patients were Malays, married, diagnosed at stage 2 breast cancer (41%), and completed their breast cancer treatment. The mean score for self-efficacy for coping with breast cancer was 83.67 (95% CI: 81.87, 85.47). The significant factors positively correlated with self-efficacy for coping with breast cancer were higher educational background and a higher family income. However, factors such as a family history of breast cancer and breast surgery reduced the mean score of self-efficacy for coping with breast cancer.

METHODS: A 20-item questionnaire was distributed online to medical professors of a Saudi, Malaysian and a Pakistani medical school. The participants were instructed to select their responses on a 5-point Likert's scale and the collected data was analyzed for quantitative and qualitative results.

RESULTS: Of 161, 110 responded; response rate of 68.3%. About 35% professors spent 1-4 hours and 2% spent 19-25 hours per week for research. As many as 7% did not publish a single article and 29% had published 10 or more articles after attaining professor rank. During the last two years, 44% professors had published 5 or more research articles. Majority pointed out a lack of research support and funds, administrative burden and difficulty in data collection as the main obstacles to their research.