Abstract: Brain tumours are a serious health danger, and the prognosis of patients is greatly enhanced by early identification. Deep learning techniques have surfaced as a viable method for automated brain tumour identification, utilising artificial intelligence to effectively and precisely analyse medical pictures. The purpose of this work is to investigate the most advanced deep learning methods available today for the detection of brain tumours, including RNN and its variants, and to assess how well they perform over a range of datasets.

Keywords:  Recurrent neural network (RNN), Ultrasound, and brain tumor.

Cite:
Mrs. MD. Jareena Begum, U. Navya, SD. Parveen Sultana, S. Samithra,"Infant Brain Tumor Detection Using Ultrasound", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11335.

| DOI: 10.17148/IARJSET.2024.11335