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Artificial Intelligence Based Brain Tumor Localization Using YOLOv5 Sadrawi, Muammar; Fugaha, Daniel Ryan; Heerlie, Devita Mayanda; Lorell, Juan; Gautama, Nicolaas Raditya Putra; Aminuddin, Mohamad Zafran
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .01
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i01.176

Abstract

Brain tumor is a mutation in the brain cells in which the cells keep dividing. The earlier the tumor detected, the higher survival rate for the patient. This study develops the brain tumor detection system by utilizing the you only look once (YOLO). The model is based on YOLOv5 architect. The open dataset of tumorous images is utilized. From this dataset, the corresponding masks are given alongside the images. Our study tries to compare several YOLOv5 models to localize the brain tumor. The results show YOLOv5m, YOLOv5l, and YOLOv5x models have higher precision and recall values. The inference time from those models is relatively small for recent computational resources. In conclusion, the YOLOv5 models have produced superior result in localizing the brain tumor
The Effects and Treatments for Usher Syndrome: A Review Heerlie, Devita Mayanda; Margaretha, Febrina; Fugaha, Daniel Ryan; Parikesit, Arli Aditya
Indonesian Journal of Life Sciences 2024: IJLS Vol 06 No.01
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v6i01.184

Abstract

Usher syndrome is defined as the rare genetic disorder that affects both vision and auditory. Although the prevalence is really low, only about 4 to 17 per 100,000 people, it is noted to cover at least 50% of deaf-blindness cases. After reviewing the molecular genetics from several papers, there are several causative genes found with the most prevalent being MYO7A, and USH2A that cause USH type 1 and 2 respectively. Furthermore, other literature has found promising treatments that may help to slow down or prevent further degeneration of the syndrome.
Comprehensive utilisation of sorghum (Sorghum bicolor) in the food industry and its nutritional properties: A review Tan, Daphne; Alfonsus, Angelica Putri; Tinardi, Cicilia; Nathania, Angeline; Vienna, Shane; Astina, Junaida; Fugaha, Daniel Ryan
Indonesian Journal of Life Sciences 2024: IJLS Vol 06 No.01
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v6i01.190

Abstract

Sorghum is one of the potential local carbohydrate sources in Indonesia. It is rich in nutrients. However, the utilisation of sorghum as staple food in Indonesia is lacking due to limited information on the cultivation, processing, and nutritional properties of sorghum. Hence, it is crucial to encourage the consumption and utilisation of sorghum to promote food diversification and sustainability. Sorghum has a distinct classification depending on its variety and each component has its own discrete functionality, with red sorghum being the most utilised varieties in Indonesia. Sorghum is high in fibre and protein (6.7 g/100 g and 1.6 g/100 g, respectively) and, therefore, contributes to the low glycemic index of sorghum. Several health benefits are possessed by sorghum, including anti-diabetic and antihypertensive properties. Moreover, the gluten-free nature of sorghum makes it suitable for people suffering from celiac disease. Utilisation of sorghum and its processing were also discussed comprehensively in this review, including utilisation of sorghum as the rice substitute, gluten-free flour, syrup, sweet soy sauce, and sorghum as plant-based milk. As such, the implementation of sorghum in Indonesia should be further optimised and promoted due to their beneficial properties as well as diverse utilisation.