Medical Images Classification Using Artificial Intelligence | ||
| Journal of Education and Science | ||
| Article 9, Volume 31, Issue 3, September 2022, Pages 110-122 PDF (734.19 K) | ||
| Document Type: Review Paper | ||
| DOI: 10.33899/edusj.2022.133358.1224 | ||
| Authors | ||
| Tasneem Mustafa* 1; Jamal Salahaldeen Alneamy2 | ||
| 1software dept. collage of computer and mathematics university of Mosul | ||
| 2software dept. collage of computer and mathematics university of mosul | ||
| Abstract | ||
| ABSTRACT: In recent years, the use of computing has increased along with medical skills, and this had impressive results in terms of classification and treatment, in addition to facilitating the matter of medical personnel. This was evident during the Corona pandemic, which infected millions around the world, which. There is an urgent need for software tools to help classify the disease without the need to resort to doctors. The matter is not limited to the classification of corona disease, but it also extends to the expansion of the discovery of other diseases such as malaria, skin cancer and other diseases that afflict large numbers of people. Malaria is an infectious disease caused by the Plasmodium parasite, and according to some statistics, the total number of infections in 2019 reached about 228 million cases around the world. As for skin cancer, it is considered one of the serious diseases that affect humans because the skin plays a key role in protecting muscles and bones, and therefore cancer will affect all body functions. CNN have made great strides in many intractable problems in image processing and classification, but their performance depends on their hyperparameters which is a tedious task if done manually. Therefore, experts in the field of deep learning aspire to improve its performance sometimes by integrating it with other algorithms such as Particle Swarm Optimization, Gray Wolf Optimization, Genetic Algorithm or firefly. All of these algorithms gave different results than the others, that is, they gave different levels of performance. | ||
| Keywords | ||
| Convolutional neural network,,; ,،,؛deep learning,,; ,،,؛Malaria,,; ,،,؛COVID _19,,; ,،,؛Skin cancer | ||
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